U.S. patent application number 09/364365 was filed with the patent office on 2001-12-06 for methods apparatus and data structures for enhancing the resolution of images to be rendered on patterned display devices.
Invention is credited to BETRISEY, CLAUDE, DRESEVIC, BODIN, MITCHELL, DONALD P., PLATT, JOHN C..
Application Number | 20010048764 09/364365 |
Document ID | / |
Family ID | 26813345 |
Filed Date | 2001-12-06 |
United States Patent
Application |
20010048764 |
Kind Code |
A1 |
BETRISEY, CLAUDE ; et
al. |
December 6, 2001 |
METHODS APPARATUS AND DATA STRUCTURES FOR ENHANCING THE RESOLUTION
OF IMAGES TO BE RENDERED ON PATTERNED DISPLAY DEVICES
Abstract
Techniques for improving the resolution of images (either analog
images, analytic images, or images having a higher resolution than
that of a display device) to be rendered on patterned displays. In
one aspect of the present invention, an overscaling or oversampling
process may accept analytic character information, such as contours
for example, and a scale factor or grid and overscale or oversample
the analytic character information to produce an overscaled or
oversampled image. The overscaled or oversampled image generated
has a higher resolution than the display upon which the character
is to be rendered. Displaced samples of the overscaled or
oversampled image are then combined (or filtered). An analytic
image, such as a line drawing for example, may be applied to the
oversampling/overscaling process as was the case with the character
analytic image. However, since the analytic image may have
different units than that of the character analytic image, the
scale factor applied may be different. Since an ultra resolution
image is already "digitized", that is, not merely mathematically
expressed contours or lines between points, it may be applied
directly to a process for combining displaced samples of the
ultra-resolution image to generate another ultra-resolution image
(or an image with sub-pixel information). The functionality of the
overscaling/oversampling process and the processes for combining
displaced samples may be combined into a single step analytic to
digital sub-pixel resolution conversion process.
Inventors: |
BETRISEY, CLAUDE; (REDMOND,
WA) ; DRESEVIC, BODIN; (BELLEVUE, WA) ;
MITCHELL, DONALD P.; (BELLEVUE, WA) ; PLATT, JOHN
C.; (BELLEVUE, WA) |
Correspondence
Address: |
WORKMAN NYDEGGER & SEELEY
1000 EAGLE GATE TOWER
60 EAST SOUTH TEMPLE
SALT LAKE CITY
UT
84111
US
|
Family ID: |
26813345 |
Appl. No.: |
09/364365 |
Filed: |
July 30, 1999 |
Current U.S.
Class: |
382/162 |
Current CPC
Class: |
G09G 5/024 20130101;
G09G 5/006 20130101; G09G 2340/0457 20130101; G09G 2340/10
20130101; G09G 2320/0242 20130101; G09G 5/28 20130101; G09G
2320/0276 20130101; G09G 5/005 20130101 |
Class at
Publication: |
382/162 |
International
Class: |
G06K 009/00 |
Claims
What is claimed is:
1. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, a method for processing
image information, the method comprising: a) accepting scan lines
of at least two color components, each said scan line comprising N
samples per sub-pixel element; and b) for each of the scan lines of
the at least two color components, i) filtering the samples to
generate new samples, and ii) filtering the new samples, at
distinct positions, to generate values associated with the
sub-pixel elements.
2. The method of claim 1 wherein N is two.
3. The method of claim 1 wherein the act of filtering the new
samples applies box filters to the new samples, each of the box
filters being centered at a spatial location corresponding to a
sub-pixel element.
4. The method of claim 1 further comprising an act of gamma
correcting the new samples.
5. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, a method for processing
image information, the method comprising: a) accepting scan lines
of at least two color components, each said scan line comprising at
least two samples per sub-pixel element; and b) for each of the
scan lines of the at least two color components, filtering the
samples, at distinct positions, to generate values associated with
the sub-pixel elements.
6. The method of claim 5 wherein the act of combining the samples
applies a box filter to the samples.
7. The method of claim 5 further comprising an act of gamma
correcting the new samples.
8. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, a method for processing
image information, the method comprising: a) accepting a blend
coefficient analytic scan line; b) filtering and sampling the blend
coefficient analytic scan line to generate blend coefficient
samples; and c) applying a foreground and background color value to
each of the blend coefficient samples to generate values associated
with the sub-pixel elements, wherein there are M sub-pixel elements
per pixel, where M is an integer greater than one, wherein each of
the M sub-pixel elements per pixel corresponds to a single color
component, and wherein the act of applying a foreground and
background color value to each of the blend coefficient samples
includes, for each of the single color components, applying a
foreground and background color component value to an associated
blend coefficient sample to generate a value corresponding to the
single color component.
9. The method of claim 8 further comprising an act of gamma
correcting the values.
10. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, a method for processing
image information, the method comprising: a) accepting a scan line
having blend coefficient samples, said scan line comprising N
samples per sub-pixel element; b) filtering the samples to generate
new samples; c) filtering the new samples to generate filtered
samples; and d) applying a foreground and background color value to
each of the filtered samples to generate color values associated
with the sub-pixel elements, wherein there are M sub-pixel elements
per pixel, where M is an integer greater than one, wherein each of
the M sub-pixel elements per pixel corresponds to a single color
component, and wherein the act of applying a foreground and
background color value to each of the filtered samples to generate
color values includes, for each of the single color components,
applying a foreground and background color component value to an
associated filtered sample to generate a color value corresponding
to the single color component.
11. The method of claim 10 wherein N is two.
12. The method of claim 10 wherein the act of filtering the new
samples applies a box filter to the new samples.
13. The method of claim 10 further comprising an act of gamma
correcting the color values.
14. The method of claim 10 wherein at least one of the foreground
and background color values may change as a function of a position
of the image.
15. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, a method for processing
image information, the method comprising: a) accepting a scan line
having blend coefficient samples; b) combining the samples to
generate new samples; and c) applying a foreground and background
color value to each of the new samples to generate color values
associated with the sub-pixel elements, wherein there are M
sub-pixel elements per pixel, where M is an integer greater than
one, wherein each of the M sub-pixel elements per pixel corresponds
to a single color component, and wherein the act of applying a
foreground and background color value to each of the new samples to
generate color values includes, for each of the single color
components, applying a foreground and background color component
value to an associated new sample to generate a color value
corresponding to the single color component.
16. The method of claim 15 wherein the act of combining the samples
applies a box filter to the samples.
17. The method of claim 15 further comprising an act of gamma
correcting the color values.
18. The method of claim 15 wherein at least one of the foreground
and background color value may change as a function of a position
of the image.
19. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, a method for processing
image information, the method comprising: a) accepting continuous
one-dimensional color functions; and b) filtering each of the
continuous one-dimensional color functions at distinct positions to
generate values associated with each of the number of sub-pixel
elements.
20. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, apparatus for processing
image information, the apparatus comprising: a) means for accepting
scan lines of at least two color components, each said scan line
comprising N samples per sub-pixel element; b) means, for each of
the scan lines of the at least two color components, for filtering
the samples to generate new samples; and c) means, for each of the
at least two color components, for filtering the new samples at
distinct positions.
21. The apparatus of claim 20 wherein N is two.
22. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, apparatus for processing
image information, the apparatus comprising: a) means for accepting
scan lines of at least two color components, each said scan line
comprising at least two samples per sub-pixel element; and b)
means, for each of the at least two color components, for combining
the samples at distinct positions to generate values associated
with the sub-pixel elements.
23. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, apparatus for processing
image information, the apparatus comprising: a) means for accepting
a blend coefficient analytic scan line; b) a sampler for filtering
and sampling the blend coefficient analytic scan line to generate
blend coefficient samples; and c) means for applying a foreground
and background color value to each of the blend coefficient samples
to generate values associated with the sub-pixel elements, wherein
there are M sub-pixel elements per pixel, where M is an integer
greater than one, wherein each of the M sub-pixel elements per
pixel corresponds to a single color component, and wherein for each
of the single color components, the means for applying apply a
foreground and background color component value to an associated
blend coefficient sample to generate a value corresponding to the
single color component.
24. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, apparatus for processing
image information, the apparatus comprising: a) means for accepting
a scan line having blend coefficient samples, said scan line having
N samples per sub-pixel element; b) means for filtering the samples
to generate new samples; c) a filter for filtering the new samples
to generate filtered samples; and d) means for applying a
foreground and background color value to each of the filtered
samples to generate values associated with the sub-pixel elements,
wherein there are M sub-pixel elements per pixel, where M is an
integer greater than one, wherein each of the M sub-pixel elements
per pixel corresponds to a single color component, and wherein, for
each of the single color components, the means for applying apply a
foreground and background color component value to an associated
filtered sample to generate a color value corresponding to the
single color component.
25. The apparatus of claim 24 wherein N is two.
26. The method of claim 24 wherein at least one of the foreground
and background color value may change as a function of a position
of the image.
27. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, apparatus for processing
image information, the apparatus comprising: a) means for accepting
a scan line having blend coefficient samples; b) means for
combining the samples to generate new samples; and c) means for
applying a foreground and background color value to each of the new
samples to generate color values associated with the sub-pixel
elements, wherein there are M sub-pixel elements per pixel, where M
is an integer greater than one, wherein each of the M sub-pixel
elements per pixel corresponds to a single color component, and
wherein, for each of the single color components, the means for
applying apply a foreground and background color component value to
an associated new sample to generate a color value corresponding to
the single color component.
28. The apparatus of claim 27 wherein at least one of the
foreground and background color value may change as a function of a
position of the image.
29. For use in a system for rendering an image on a device having a
number of sub-pixel elements per pixel, apparatus for processing
image information, the apparatus comprising: a) means for accepting
continuous one-dimensional color functions; and b) means for
filtering each of the continuous one-dimensional color functions at
a distinct position to generate values associated with each of the
number of sub-pixel elements.
30. A machine readable medium having stored instructions which,
when executed by a machine used in a system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 1.
31. A machine readable medium having stored instructions which,
when executed by a machine used in a system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 2.
32. A machine readable medium having stored instructions which,
when executed by a machine used in an system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 5.
33. A machine readable medium having stored instructions which,
when executed by a machine used in an system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 8
34. A machine readable medium having stored instructions which,
when executed by a machine used in a system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 10.
35. A machine readable medium having stored instructions which,
when executed by a machine used in a system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 11.
36. A machine readable medium having stored instructions which,
when executed by a machine used in a system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 14.
37. A machine readable medium having stored instructions which,
when executed by a machine used in an system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 15.
38. A machine readable medium having stored instructions which,
when executed by a machine used in a system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 16.
39. A machine readable medium having stored instructions which,
when executed by a machine used in a system for rendering an image
on a device having a number of sub-pixel elements per pixel,
performs the method of claim 19.
Description
.sctn. 1. BACKGROUND OF THE INVENTION
[0001] .sctn. 1.1 Field of the Invention
[0002] The present invention concerns techniques for enhancing the
resolution of images, such as fonts, line drawings, or
black-and-white or full-color images for example, to be rendered on
a patterned output device, such as a flat panel video monitor or an
LCD video monitor for example.
[0003] .sctn. 1.2 Related Art
[0004] The present invention may be used in the context of
patterned output devices such as flat panel video monitors, or LCD
video monitors for example. In particular, the present invention
may be used as a part of processing to produce higher resolution
images, such as more legible text for example, on LCD video
monitors. Although the structure and operation of display devices
in general, and flat panel display devices, such as LCD monitors
for example, in particular, are known by those skilled in the art,
they are discussed in .sctn. 1.2.1 below for the reader's
convenience. Then, known ways of rendering text, line art and
graphics on such displays are discussed in .sctn..sctn. 1.2.2,
1.2.3 and 1.2.4 below.
[0005] .sctn. 1.2.1 Display Devices
[0006] Color display devices have become the principal display
devices of choice for most computer users. Color is typically
displayed on a monitor by operating the display device to emit
light (such as a combination of red, green, and blue light for
example) which results in one or more colors being perceived by the
human eye.
[0007] Although color video monitors in general, and LCD video
monitors in particular, are known to those skilled in the art, they
are introduced below for the reader's convenience. In .sctn.
1.2.1.1 below, cathode ray tube (or CRT) video monitors are first
introduced. Then, in .sctn. 1.2.1.2 below, LCD video monitors are
introduced.
[0008] .sctn. 1.2.1.1 CRT Video Monitors
[0009] Cathode ray tube (CRT) display devices include phosphor
coatings which may be applied as dots in a sequence on the screen
of the CRT. A different phosphor coating is normally associated
with the generation of different colors, such as red, green, and
blue for example. Consequently, repeated sequences of phosphor dots
are defined on the screen of the video monitor. When a phosphor dot
is excited by a beam of electrons, it will generate its associated
color, such as red, green and blue for example.
[0010] The term "pixel" is commonly used to refer to one spot in a
group of spots, such as rectangular grid of thousands of such spots
for example. The spots are selectively activated to form an image
on the display device. In most color CRTs, a single triad of red,
green and blue phosphor dots cannot be uniquely selected.
Consequently, the smallest possible pixel size will depend on the
focus, alignment and bandwidth of the electron guns used to excite
the phosphor dots. The light emitted from one or more triads of
red, green and blue phosphor dots, in various arrangements known
for CRT displays, tend to blend together giving, at a distance, the
appearance of a single colored light source.
[0011] In color displays, the intensity of the light emitted from
the additive primary colors (such as red, green, and blue) can be
varied to achieve the appearance of almost any desired color pixel.
Adding no color, i.e., emitting no light, produces a black pixel.
Adding 100 percent of all three (3) colors produces a white
pixel.
[0012] Having introduced color CRT video monitors, color LCD video
monitors are now introduced in .sctn. 1.2.1.2 below.
[0013] .sctn. 1.2.1.2 LCD Video Monitors
[0014] Portable computing devices (also referred to generally as
computing appliances or untethered computing appliances) often use
liquid crystal displays (LCDs) or other flat panel display devices,
instead of CRT displays. This is because flat panel displays tend
to be smaller and lighter than CRT displays. In addition, flat
panel displays are well suited for battery powered applications
since they typically consume less power than comparably sized CRT
displays. Further, LCD flat panel monitors are even becoming more
popular in the desktop computing environment.
[0015] Color LCD displays are examples of display devices which
distinctly address elements (referred to herein as pixel
sub-components, pixel sub-elements, or simply, emitters) to
represent each pixel of an image being displayed. Normally, each
pixel element of a color LCD display includes three (3) non-square
elements. More specifically, each pixel element may include
adjacent red, green and blue (RGB) pixel sub-components. Thus, a
set of RGB pixel sub-components together define a single pixel
element.
[0016] Known LCD displays generally include a series of RGB pixel
sub-components which are commonly arranged to form stripes along
the display. The RGB stripes normally run the entire length of the
display in one direction. The resulting RGB stripes are sometimes
referred to as "RGB striping". Common LCD monitors used for
computer applications, which are wider than they are tall, tend to
have RGB vertical stripes. Naturally, however, some LCD monitors
may have RGB horizontal stripes.
[0017] FIG. 1 illustrates a known LCD screen 100 comprising pixels
arranged in a plurality of rows (R1-R12) and columns (C1-C16). That
is, a pixel is defined at each row-column intersection. Each pixel
includes a red pixel sub-component, depicted with moderate
stippling, a green component, depicted with dense stippling, and a
blue component, depicted with sparse stippling. FIG. 2 illustrates
the upper left hand portion of the known display 100 in greater
detail. Note how each pixel element, such as, the (R2, C4) pixel
element for example, comprises three (3) distinct sub-element or
sub-components; a red sub-component 206, a green sub-component 207
and a blue sub-component 208. In the exemplary display illustrated,
each known pixel sub-component 206, 207, 208 is 1/3, or
approximately 1/3, the width of a pixel while being equal, or
approximately equal, in height to the height of a pixel. Thus, when
combined, the three 1/3 width, full height, pixel sub-components
206, 207, 208 define a single pixel element.
[0018] As illustrated in FIG. 1, one known arrangement of RGB pixel
sub-components 206, 207, 208 form what appear to be vertical color
stripes on the display 100. Accordingly, the arrangement of 1/3
width color sub-components 206, 207, 208, in the known manner
illustrated in FIGS. 1 and 2, exhibit what is sometimes called
"vertical striping".
[0019] In known systems, the RGB pixel sub-components are generally
used as a group to generate a single colored pixel corresponding to
a single sample of the image to be represented. More specifically,
in known systems, luminous intensity values for all the pixel
sub-components of a pixel element are generated from a single
sample of the image to be rendered.
[0020] Having introduced the general structure and operation of
known LCD displays, known techniques for rendering text on such LCD
displays, as well as perceived shortcomings of such known
techniques, are introduced in .sctn. 1.2.2 below. Then, known
techniques for rendering line art or images on such LCD displays,
as well as perceived shortcomings of such known techniques, are
introduced in .sctn. 1.2.3 below. Finally, rendering graphics is
introduced in .sctn. 1.2.4 below.
[0021] .sctn. 1.2.2 Rendering Text on Displays
[0022] The expression of textual information using font sets is
introduced in .sctn. 1.2.2.1 below. Then, the rendering of textual
information using so-called pixel precision and perceived
shortcomings of doing so are introduced in .sctn. 1.2.2.2
below.
[0023] .sctn. 1.2.2.1. Font Sets
[0024] A "font" is a set of characters of the same typeface (such
as Times Roman, Courier New, etc.), the same style (such as
italic), the same weight (such as bold and, strictly speaking, the
same size). Characters may include symbols, such as the "Parties
MT", "Webdings", and "Wingdings" symbol groups found on the
Word.TM. word processor from Microsoft Corporation of Redmond,
Wash. for example. A "typeface" is a specific named design of a set
of printed characters (e.g., Helvetica Bold Oblique), that has a
specified obliqueness (i.e., degree of slant) and stoke weight
(i.e., line thickness). Strictly speaking, a typeface is not the
same as a font, which is a specific size of a specific typeface
(such as 12-point Helvetica Bold Oblique). However, since some
fonts are "scalable", the terms "font" and "typeface" may sometimes
be used interchangeably. A "typeface family" is a group of related
typefaces. For example, the Helvetica family may include Helvetica,
Helvetica Bold, Helvetica Oblique and Helvetica Bold Oblique.
[0025] Many modern computer systems use font outline technology,
such as scalable fonts for example, to facilitate the rendering and
display of text. TrueType.TM. fonts from Microsoft Corporation of
Redmond, Wash. are an example of such technology. In such systems,
various font sets, such as "Times New Roman," "Onyx," "Courier
New," etc. for example, may be provided. The font set normally
includes an analytic outline representation, such as a series of
contours for example, for each character which may be displayed
using the provided font set. The contours may be straight lines or
curves for example. Curves may be defined by a series of points
that describe second order Bezier-splines for example. The points
defining a curve are typically numbered in consecutive order. The
ordering of the points may be important. For example, the character
outline may be "filled" to the right of curves when the curves are
followed in the direction of increasing point numbers. Thus the
analytic character outline representation may be defined by a set
of points and mathematical formulas.
[0026] The point locations may be described in "font units" for
example. A "font unit" may be defined as the smallest measurable
unit in an "em" square, which is an imaginary square that is used
to size and align glyphs (a "glyph" can be thought of as a
character). FIG. 3 illustrates an "em" square 310 around a
character outline 320 of the letter Q. Historically, an "em" was
approximately equal to the width of a capital M. Further,
historically, glyphs could not extend beyond the em square. More
generally, however, the dimensions of an "em" square are those of
the full body height 340 of a font plus some extra spacing. This
extra spacing was provided to prevent lines of text from colliding
when typeset without extra leading was used. Further, in general,
portions of glyphs can extend outside of the em square. The
coordinates of the points defining the lines and curves (or
contours) may be positioned relative to a baseline 330 (Y
coordinate=0). The portion of the character outline 320 above the
baseline 330 is referred to as the "ascent" 342 of the glyph. The
portion of the character outline 320 below the baseline 330 is
referred to as the "decent" 344 of the glyph. Note that in some
languages, such as Japanese for example, the characters sit on the
baseline, with no portion of the character extending below the
baseline.
[0027] The stored outline character representation normally does
not represent space beyond the maximum horizontal and vertical
boundaries of the character (also referred to as "white space" or
"side bearings"). Therefore, the stored character outline portion
of a character font is often referred to as a black body (or BB). A
font generator is a program for transforming character outlines
into bitmaps of the style and size required by an application. Font
generators (also referred to as "rasterizers") typically operate by
scaling a character outline to a requested size and can often
expand or compress the characters that they generate.
[0028] In addition to stored black body character outline
information, a character font normally includes black body size,
black body positioning, and overall character width information.
Black body size information is sometimes expressed in terms of the
dimensions of a bounding box used to define the vertical and
horizontal borders of the black body.
[0029] Certain terms used to define a character are now defined
with reference to FIG. 4, which illustrates character outlines of
the letters A and I 400. Box 408 is a bounding box which defines
the size of the black body 407 of the character (A). The total
width of the character (A), including white space to be associated
with the character (A), is denoted by an advance width (or AW)
value 402. The advance width typically starts to a point left of
the bounding box 408. This point 404 is referred to as the left
side bearing point (or LSBP). The left side bearing point 404
defines the horizontal starting point for positioning the character
(A) relative to a current display position. The horizontal distance
410 between the left end of the bounding box 408 and the left side
bearing point 404 is referred to as the left side bearing (or LSB).
The left side bearing 410 indicates the amount of white space to be
placed between the left end of the bounding box 408 of a current
character (A) and the right side bearing point of the preceding
character (not shown). The point 406 to the right of the bounding
box 408 at the end of the advance width 402 is referred to as the
right side bearing point (or RSBP). The right side bearing point
406 defines the end of the current character (A) and the point at
which the left side bearing point 404' of the next character (I)
should be positioned. The horizontal distance 412 between the right
end of the bounding box 408 and the right side bearing point 406 is
referred to as the right side bearing (or RSB). The right side
bearing 412 indicates the amount of white space to be placed
between the right end of the bounding box 408 of a current
character (A) and the left side bearing point 404' of the next
character (I). Note that the left and right side bearings may have
zero (0) or negative values. Note also that in characters used in
Japanese and other Far Eastern languages, metrics analogous to
advance width, left side bearing and right side bearing--namely,
advance height (AH), top side bearing (TSB) and bottom side bearing
(BSB)--may be used.
[0030] As discussed above, a scalable font file normally includes
black body size, black body positioning, and overall character
width information for each supported character. The black body size
information may include horizontal and vertical size information
expressed in the form of bounding box 408 dimensions. The black
body positioning information may expressed as a left side bearing
value 410. Overall character width information may be expressed as
an advance width 402.
[0031] .sctn. 1.2.2.2 Rendering Text to Pixel Precision
[0032] In the following, known techniques for rendering text on an
output device such as a display (or printer) is described in .sctn.
1.2.2.2.1. Then, an example illustrating round-off errors which may
occur when using such known techniques is described in .sctn.
1.2.2.2.2.
[0033] .sctn. 1.2.2.2.1 Technique for Rendering Text
[0034] FIG. 5 is a high level diagram of processes that may be
performed when an application requests that text be rendered on a
display device. Basically, as will be described in more detail
below, text may be rendered by: (i) loading a font and supplying it
to a rasterizer; (ii) scaling the font outline based on the point
size and the resolution of the display device; (iii) applying hints
to the outline; (iv) filling the grid fitted outline with pixels to
generate a raster bitmap; (v) scanning for dropouts (optional);
(vi) caching the raster bitmap; and (vii) transferring the raster
bitmap to the display device.
[0035] In the case of scaling fonts, the font unit coordinates used
to define the position of points defining contours of a character
outline are scaled to device specific pixel coordinates. That is,
when the resolution of the em square is used to define a character
outline, before that character can be displayed, it must be scaled
to reflect the size, transformation and the characteristics of the
output device on which it is to be rendered. The scaled outline
describes the character outline in units that reflect the absolute
unit of measurement used to measure pixels of the output device,
rather than the relative system of measurement of font units per
em. Specifically, with known techniques, values in the em square
are converted to values in the pixel coordinate system in
accordance with the following formula: 1 size in pixels = character
outline size point size output device resolution 72 points per inch
number of font units per em ( 1 )
[0036] where the character outline size is in font units, and
output device resolution is in pixels/inch.
[0037] The resolution of the output device may be specified by the
number of dots or pixels per inch (dpi). For example, a VGA video
monitor may be treated as a 96 dpi device, a laser printer may be
treated as a 300 dpi device, an EGA video monitor may be treated as
a 96 dpi device in the horizontal (X) direction, but a 72 dpi
device in the vertical (Y) direction. The font units per em may
(but need not) be chosen to be a power of two (2), such as 2048
(=2.sup.11) for example.
[0038] FIG. 5 is a high level diagram of processes which may be
performed by a known text rendering system. As shown in FIG. 5, an
application process 510, such as a word processor or contact
manager for example, may request that text be displayed and may
specify a point size for the text. Although not shown in FIG. 5,
the application process 510 may also request a font name,
background and foreground colors and a screen location at which the
text is to be rendered. The text and, if applicable, the point
size, 512 are provided to a graphics display interface (or GDI)
process (or more generally, a graphics display interface) 522. The
GDI process 522 uses display information 524 (which may include
such display resolution information as pixels per inch on the
display) and character information 525 (which may be a character
outline information which may be represented as points defining a
sequence of contours such as lines and curves, advance width
information and left side bearing information) to generate glyphs
(or to access cached glyphs which have already been generated).
Glyphs may include a bitmap of a scaled character outline (or a
bounding box 308 containing black body 307 information), advance
width 302 information, and left side bearing 310 information. Each
of the bits of the bitmap may have associated red, green and blue
luminous intensity values. The graphics display interface process
522 is described in more detail in .sctn. 1.2.2.2.1.1 below. The
graphics display interface process 522, the display information
524, and the glyph cache 526 may be a part of, and effected by, an
operating system, such as the Windows.RTM. CE or Windows NT.RTM.
operating systems (from Microsoft Corporation of Redmond, Wash.)
for example.
[0039] Glyphs (also referred to as digital font representations)
528' or 528, either from the glyph cache 526 or from the graphics
display interface process 522, are then provided to a display
driver management process (or more generally, a display driver
manager) 535. The display driver management process 535 may be a
part of a display (or video) driver 530. Typically, a display
driver 530 may be software which permits a computer operating
system to communicate with a particular video display. Basically,
the display driver management process 535 may invoke a color
palette selection process 538. These processes 535 and 538 serve to
convert the character glyph information into the actual pixel
intensity values. The display driver management process 535
receives, as input, glyphs and display information 524'. The
display information 524' may include, for example,
foreground/background color information, color palette information
and pixel value format information.
[0040] The processed pixel values may then be forwarded as video
frame part(s) 540 along with screen (and perhaps window)
positioning information (e.g., from the application process 510
and/or operating system), to a display (video) adapter 550. A
display adapter 550 may include electronic components that generate
a video signal sent to the display 560. A frame buffer process 552
may be used to store the received video frame part(s) in a screen
frame buffer 554 of the display adapter 550. Using the screen frame
buffer 554 allows a single image of, e.g., a text string, to be
generated from glyphs representing several different characters.
The video frame(s) from the screen frame buffer 554 is then
provided to a display adaptation process 553 which adapts the video
for a particular display device. The display adaptation process 558
may also be effected by the display adapter 550.
[0041] Finally, the adapted video is presented to the display
device 560, such as an LCD display for example, for rendering.
[0042] Having provided an overview of a text rendering system, the
graphics display interface process 522 is now described in more
detail in .sctn. 1.2.2.2.1.1 below. The processes which may be
performed by the display driver are then described in more detail
in .sctn. 1.2.2.2.1.2 below.
[0043] .sctn. 1.2.2.2.1.1 Graphics Display Interface
[0044] FIG. 6 illustrates processes that may be performed by a
graphics display interface (or GDI) process 522, as well as data
that may be used by the GDI process 522. As shown in FIG. 6, the
GDI process 522 may include a glyph cache management process (or
more generally, a glyph cache manager) 610 which accepts text, or
more specifically, requests to display text, 512. The request may
include the point size of the text. The glyph cache management
process 610 forwards this request to the glyph cache 526. If the
glyph cache 526 includes the glyph corresponding to the requested
text character, it provides it for downstream processing. If, on
the other hand, the glyph cache 526 does not have the glyph
corresponding to the requested text character, it so informs the
glyph cache management process 610 which, in turn, submits a
request to generate the needed glyph to the type rasterization
process (or more generally, a type rasterizer) 620. Basically, a
type rasterization process 620 may be effected by hardware and/or
software and converts a character outline (which may, recall,
include points which define contours such as lines and curves based
on mathematical formulas) into a raster (that is, a bitmapped)
image. Each pixel of the bitmap image may have a color value and a
brightness for example. A type rasterization process is described
in .sctn. 1.2.2.2.1.1.1 below.
[0045] .sctn. 1.2.2.2.1.1.1 Rasterizer
[0046] To reiterate, the type rasterization process 620 basically
transforms character outlines into bitmapped images. The scale of
the bitmap may be based on the point size of the font and the
resolution (e.g., pixels per inch) of the display device 560. The
text, font, and point size information may be obtained from the
application 510, while the resolution of the display device 560 may
be obtained from a system configuration or display driver file or
from monitor settings stored in memory by the operating system. The
display information 524 may also include foreground/background
color information, gamma values, color palette information and/or
display adapter/display device pixel value format information. To
reiterate, this information may be provided from the graphics
display interface 522 in response to a request from the application
process 510. If, however, the background of the text requested is
to be transparent (as opposed to Opaque), the background color
information is what is being rendered on the display (such as a
bitmap image or other text for example) and is provided from the
display device 560 or the video frame buffer 554.
[0047] Basically, the rasterization process may include two (2) or
three (3) sub-steps or sub-processes. First, the character outline
is scaled using a scaling process 622. This process is described
below. Next, the scaled image generated by the scaling process 622
may be placed on a grid and have portions extended or shrunk using
a hinting process 626. This process is also described below. Then,
an outline fill process 628 is used to fill the grid-fitted outline
to generate a raster bitmap. This process is also described
below.
[0048] When scaling fonts in conventional systems such as
TrueType.TM. from Microsoft Corporation of Redmond, Wash., the font
unit coordinates used to define the position of points defining
contours of a character outline were scaled to device specific
pixel coordinates. That is, since the resolution of the em square
was used to define a character outline, before that character could
be displayed, it was scaled to reflect the size, transformation and
the characteristics of the output device on which it was to be
rendered. Recall that the scaled outline describes the character
outline in units that reflect the absolute unit of measurement used
to measure pixels of the output device, rather than the relative
system of measurement of font units per em. Thus, recall that
values in the em square were converted to values in the pixel
coordinate system in accordance with the following formula: 2 size
in pixels = character outline size point size output device
resolution 72 points per inch number of font units per em ( 1 )
[0049] where the character outline size is in font units, and
output device resolution is in pixels/inch.
[0050] Recall that the resolution of an output device may be
specified by the number of dots or pixels per inch (dpi).
[0051] The purpose of hinting (also referred to as "instructing a
glyph") is to ensure that critical characteristics of the original
font design are preserved when the glyph is rendered at different
sizes and on different devices. Consistent stem weights, consistent
"color" (that is, in this context, the balance of black and white
on a page or screen), even spacing, and avoiding pixel dropout are
common goals of hinting. In the past, uninstructed, or unhinted,
fonts would generally produce good quality results at sufficiently
high resolutions and point sizes. However, for many fonts,
legibility may become compromised at smaller point sizes on lower
resolution displays. For example, at low resolutions, with few
pixels available to describe the character shapes, features such as
stem weights, crossbar widths and serif details can become
irregular, or inconsistent, or even missed completely.
[0052] Basically, hinting may involve "grid placement" and "grid
fitting". Grid placement is used to align a scaled character within
a grid, that is used by a subsequent outline fill process 628, in a
manner intended to optimize the accurate display of the character
using the available sub-pixel elements. Grid fitting involves
distorting character outlines so that the character better conforms
to the shape of the grid. Grid fitting ensures that certain
features of the glyphs are regularized. Since the outlines are only
distorted at a specified number of smaller sizes, the contours of
the fonts at high resolutions remain unchanged and undistorted.
[0053] In grid placement, sub-pixel element boundaries may be
treated as boundaries along which characters can, and should, be
aligned or boundaries to which the outline of a character should be
adjusted.
[0054] Other known hinting instructions may also be carried out on
the scaled character outline.
[0055] In an implementation of anti-aliased text for TrueType.TM.
fonts supported in Windows NT.TM. 4, the hinted image 627 is
overscaled four (4) times in both the X and Y directions. The image
is then sampled, i.e. for every physical pixel, which is
represented by 4-by-4 portion of the grid in an overscaled image,
the blend factor alpha is computed for that pixel by simply
counting the squares having centers which lie within the glyph
outline and dividing the result by 16. As a result, the
foreground/background blend factor alpha is expressed as k/16 and
is computed for every pixel. This whole process is also called
standard anti-aliasing filtering. Unfortunately, however, such
standard anti-aliasing tends to blur the image. Similar
implementation exists in Windows 95 and Windows 98, and the only
difference is that the image is overscaled two (2) times in both X
and Y, so that alpha for every pixel is expressed as k/4, where k
is a number of squares within the glyph outline.
[0056] The outline fill process 628 basically determines whether
the center of each pixel is enclosed within the character outline.
If the center of a pixel is enclosed within the character outline,
that pixel is turned ON. Otherwise, the pixel is left OFF. The
problem of "pixel dropout" may occur whenever a connected region of
a glyph interior contains two ON pixels that cannot be connected by
a straight line that passes through only those ON pixels. Pixel
dropout may be overcome by looking at an imaginary line segment
connected two adjacent pixel centers, determining whether the line
segment is intersected by both an on-transition contour and
off-transition contour, determining whether the two contour lines
continue in both directions to cut other line segments between
adjacent pixel centers and, if so, turning pixels ON.
[0057] The rasterized glyphs are then cached in glyph cache 526.
Caching glyphs is useful. More specifically, since most Latin fonts
have only about 200 characters, a reasonably sized cache makes the
speed of the rasterizer almost meaningless. This is because the
rasterizeer runs once, for example when a new font or point size is
selected. Then, the bitmaps are transferred out of the glyph cache
526 as needed.
[0058] The scaling process 622 of the known system just described
may introduce certain rounding errors. Constraints are enforced by
(i) scaling the size and positioning information included in a
character font as a function of the point size and device
resolution as just described above, and (ii) then rounding the size
and positioning values to integer multiples of the pixel size used
in the particular display device. Using pixel size units as the
minimum (or "atomic") distance unit produces what is called "pixel
precision" since the values are accurate to the size of one (1)
pixel.
[0059] Rounding size and positioning values of character fonts to
pixel precision introduces changes, or errors, into displayed
images. Each of these errors may be up to 1/2 a pixel in size
(assuming that values less than 1/2 a pixel are rounded down and
values greater than or equal to 1/2 a pixel are rounded up). Thus,
the overall width of a character may be less precise than desired
since the character's AW is (may be) rounded. In addition, the
positioning of a character's black body within the total horizontal
space allocated to that character may be sub-optimal since the left
side bearing is (may be) rounded. At small point sizes, the changes
introduced by rounding using pixel precision can be
significant.
[0060] .sctn. 1.2.3 Rendering Line Drawings
[0061] As was the case when scaling character outlines, when
rendering line drawings, the boundaries between the (black) line
portions and the (white) background are typically forced to
correspond to pixel boundaries. This may be done by rounding the
position values of the (black) line portions to integer multiples
of the pixel size used in the particular display device. Referring
to FIG. 7, this may be done by a scaling process 710 which accepts
analytic image information 702 and generates pixel resolution
digital image information 728. To reiterate, using pixel size units
as the minimum (or "atomic") positioning unit produces what is
called "pixel precision" since the position values are accurate to
the size of one (1) pixel.
[0062] Rounding position values for line drawings to pixel
precision introduces changes, or errors, into displayed images.
Each of these errors may be up to 1/2 a pixel in size (assuming
that values less than 1/2 a pixel are rounded down and values
greater than or equal to 1/2 a pixel are rounded up). Thus, the
overall width of a line section may be less precise than desired
since the width or weight of the line is (may be) rounded.
[0063] .sctn. 1.2.4 Rendering Graphics
[0064] Similar to text and line drawings, certain graphics,
represented analytically or by a resolution higher than that of a
display device 650, may have to be scaled and rounded to correspond
to the resolution of the display device 650. Referring to FIG. 7,
this may be done by a scaling process 710 which accepts ultra
resolution digital image information 704 and generates pixel
resolution digital image information. Thus, rounding errors can be
introduced here as well.
[0065] .sctn. 1.2.5 Unmet Needs
[0066] In view of the errors introduced when rounding character
values, line drawings, or high resolution or analytic graphics to
pixel precision as introduced above, methods and apparatus to
improve character spacing and positioning, to increase the
legibility and perceived quality of text, to improve the resolution
of line drawings, and/or to improve the resolution of images are
needed. Such methods and apparatus should not blur the image, as
occurs when standard anti-aliasing is used.
.sctn. 2. SUMMARY OF THE INVENTION
[0067] The present invention improves the resolution of images
(either analog images, analytic images, or images having a higher
resolution than that of a display device) to be rendered on
patterned displays. In one aspect of the present invention, an
overscaling or oversampling process may accept analytic character
information, such as contours for example, and a scale factor or
grid and overscale or oversample the analytic character information
to produce an overscaled or oversampled image. The overscaled or
oversampled image generated has a higher resolution than the
display upon which the character is to be rendered. If, for
example, the display is a RGB striped LCD monitor, the
ultra-resolution image may have a resolution corresponding to the
sub-pixel component resolution of the display, or an integer
multiple thereof. For example, if a vertically striped RGB LCD
monitor is to be used, the ultra-resolution image 704 may have a
pixel resolution in the Y direction and a 1/3 (or 1/3N, where N is
an integer) pixel resolution in the X direction. If, on the other
hand, a horizontally striped RGB LCD monitor is to be used, the
ultra-resolution image may have a pixel resolution in the X
direction and a 1/3 (or 1/3N) pixel resolution in the Y direction.
Then a process for combining displaced samples of the
ultra-resolution image 624' may be used to generate another
ultra-resolution image (or an image with sub-pixel information)
which is then cached. The cached character information may then be
accessed by a compositing process which uses foreground and
background color information.
[0068] An analytic image, such as a line drawing for example, may
be applied to the oversampling/overscaling process as was the case
with the character analytic image. However, since the analytic
image may have different units than that of the character analytic
image, the scale factor applied may be different. In any event, the
downstream processes may be similarly applied.
[0069] Since an ultra resolution image is already "digitized", that
is, not merely mathematically expressed contours or lines between
points, it may be applied directly to a process for combining
displaced samples of the ultra-resolution image to generate another
ultra-resolution image (or an image with sub-pixel information).
Downstream processing may then be similarly applied.
[0070] In one embodiment of the present invention, the
functionality of the overscaling/oversampling process and the
processes for combining displaced samples may be combined into a
single step analytic to digital sub-pixel resolution conversion
process.
.sctn. 3. BRIEF DESCRIPTION OF THE DRAWINGS
[0071] FIGS. 1 and 2 illustrate vertical striping in a conventional
RGB LCD display device.
[0072] FIGS. 3 and 4 illustrate certain font technology terms.
[0073] FIG. 5 illustrates processes that may be performed in a font
or character rendering system in which the present invention may be
implemented.
[0074] FIG. 6 illustrates processes that may be performed in a
graphics display interface.
[0075] FIG. 7 illustrates processes that may be performed in a line
art or graphics rendering system in which the present invention may
be implemented.
[0076] FIG. 8 illustrates processes that may be used to effect
various aspects of the present invention.
[0077] FIG. 9 illustrates an overscaling process operating on
character outline information.
[0078] FIG. 10 is a block diagram of a computer architecture which
may be used to implement various aspects of the present
invention.
[0079] FIG. 11 illustrates the operation of an ideal analog to
digital sub-pixel conversion method.
[0080] FIG. 12 is a high level flow diagram of that method.
[0081] FIG. 13 illustrates the operation of a disfavored
downsampling method.
[0082] FIG. 14 is a high level flow diagram of that method.
[0083] FIG. 15 illustrates the operation of a method for deriving
sub-pixel element information from color scan lines.
[0084] FIG. 16 is a high level flow diagram of that method.
[0085] FIG. 17 illustrates the operation of an alternative method
for deriving sub-pixel element information from color scan
lines.
[0086] FIG. 18 is a high level flow diagram of that method.
[0087] FIG. 19 illustrates the operation of a method for deriving
sub-pixel element information from blend coefficient information,
as well as foreground and background color information.
[0088] FIG. 20 is a high level flow diagram of that method.
[0089] FIG. 21 illustrates the operation of a method for deriving
sub-pixel element information from blend coefficient samples, as
well as foreground and background color information.
[0090] FIG. 22 is a high level flow diagram of that method.
[0091] FIG. 23 illustrates the operation of an alternative method
for deriving sub-pixel element information from blend coefficient
samples, as well as foreground and background color
information.
[0092] FIG. 24 is a high level flow diagram of that method.
[0093] FIG. 25 illustrates the operation of a method for deriving
sub-pixel element information from blend coefficient samples, as
well as foreground and background color information, where the
foreground and/or background color information may vary based on
the position of a pixel within the image.
[0094] FIG. 26 is a high level flow diagram of that method.
[0095] FIG. 27 illustrates the operation of an alternative method
for deriving sub-pixel element information from blend coefficient
samples, as well as foreground and background color information,
where the foreground and/or background color information may vary
based on the position of a pixel within the image.
[0096] FIG. 28 is a high level flow diagram of that method.
[0097] FIG. 29 is a high level block diagram of a machine which may
be used to implement various aspects of the present invention.
[0098] FIG. 30 illustrates samples derived from a portion of an
overscaled character outline.
[0099] FIG. 31 illustrates the operations of alternative sample
combination techniques.
.sctn.4. DETAILED DESCRIPTION
[0100] The present invention concerns novel methods, apparatus and
data structures for rendering text, line art and graphics on
displays having sub-pixel components. The following description is
presented to enable one skilled in the art to make and use the
invention, and is provided in the context of particular
applications and their requirements. Various modifications to the
disclosed embodiments will be apparent to those skilled in the art,
and the general principles set forth below may be applied to other
embodiments and applications. Thus, the present invention is not
intended to be limited to the embodiments shown.
[0101] Functions which may be performed by the present invention
are introduced in .sctn. 4.1 below. Then, exemplary environments in
which the present invention may operate are then described in
.sctn. 4.2 below. Thereafter, exemplary embodiments, methods, and
data structures which may be used to effect various aspects of the
present invention are described in .sctn. 4.3 below. Finally,
conclusions about the present invention are presented in .sctn. 4.4
below.
[0102] .sctn. 4.1 Functions Which May Be Performed
[0103] FIG. 8 is a high level diagram of processes that may be
performed to effect various aspects of the present invention, as
well as data accepted by or generated by such processes. As shown,
the processes may act on an analytic image 512/525, such as
contours, foreground and background colors of a character; an
analytic image information 702', such as lines, points, contours,
foreground and background colors of line art; or an image 704'
having a higher resolution than that of the display 560 (also
referred to as an "ultra-resolution image"). Processes associated
with rendering a character image 512/525 are addressed in .sctn.
4.1.1 below. Processes associated with rendering a non-character
analytic image 702' are addressed in .sctn. 4.1.2 below. Processes
associated with rendering an ultra-resolution image 704' are
addressed in .sctn. 4.1.3 below.
[0104] .sctn. 4.1.1 Processes Associated With Rendering Character
Images
[0105] An overscaling or oversampling process 622'/710' may accept
analytic character information, such as contours for example, and a
scale factor or grid 820 and overscale and/or oversample the
analytic character information. In this context, given an analytic
character outline arranged on a grid defined by a coordinate
system, overscaling means stretching the analytic character outline
while leaving the coordinate system unchanged, while oversampling
means compressing the grid defined by the coordinate system while
leaving the analytic character outline unchanged. In the first
case, in which the analytic character outline is overscaled, an
overscaled analytic image 805 is generated. The overscaled analytic
image 805 may then be sampled by sampling process 806 to generate
ultra-resolution digital image information 810. In the second case,
in which the analytic character outline (which may have been
overscaled) is oversampled, the ultra-resolution digital image
information 810 is generated directly. The ultra-resolution image
810 has a higher resolution than the display 560 upon which the
character is to be rendered. In one example, if the display is a
RGB striped LCD monitor for example, the ultra-resolution image may
have a resolution corresponding to the sub-pixel component
resolution of the display, or an integer multiple thereof. For
example, if a vertically striped RGB LCD monitor is to be used, the
ultra-resolution image 810 may have a pixel resolution in the Y
direction and a 1/3 (or {fraction (1/3)}N, where N is an integer)
pixel resolution in the X direction. If, on the other hand, a
horizontally striped RGB LCD monitor is to be used, the
ultra-resolution image 810 may have a pixel resolution in the X
direction and a 1/3 (or 1/3N) pixel resolution in the Y
direction.
[0106] The optional hinting process 626' may apply hinting
instructions to the overscaled analytic image 805. In one
embodiment, the overscaling and/or oversampling process 622'/710'
overscales the analytic image 515/525 by a factor of an arbitrarily
large number N (e.g., N=sixteen (16)) in the X direction and does
not scale the analytic image 515/525 in the Y direction. By doing
this, in many cases, the hinting instructions of the optional
hinting process 626' will not cause problems in the X direction,
which might otherwise occur. In this embodiment, the downscaling
process 807 scales the hinted image by Z/N, where Z is the number
of samples per pixel element desired (e.g., Z/N={fraction (6/16)}).
The resulting scaled analytic image 808 may then be sampled by the
sampling process 806 to generate the ultra-resolution image 810.
Consequently, the resulting ultra-resolution digital image
information 810 is overscaled by Z (e.g., six (6)) in the X
direction. Naturally, in alternative embodiments, the scaled
analytic image 805 may be directly sampled by the sampling process
806 to generate an ultra-resolution image 810.
[0107] FIG. 9 illustrates an example of the operation of an
exemplary overscaling/oversampling process 622'/710' used in the
case of a vertically striped LCD monitor. First, font vector
graphics (e.g., the character outline), point size and display
resolution are accepted. This information is denoted 512/525/910 in
FIG. 9. The font vector graphics (e.g., the character outline)
512/525/910 is rasterized based on the point size, display
resolution and the overscale factors (or oversample rate). As shown
in the example of FIG. 9, the Y coordinate values of the character
outline (in units of font units) are scaled as shown in 920 and
rounded to the nearest integer pixel value. On the other hand, the
X coordinate values of the character outline (in units of font
units) are overscaled as shown in 930 and rounded to the nearest
integer scan conversion source sample (e.g., pixel sub-component)
value. The resulting data 940 is the character outline in units of
pixels in the Y direction and units of scan conversion source
samples (e.g., pixel sub-components) in the X direction.
[0108] Then, referring back to FIG. 8, a process 830 for combining
displaced (e.g., adjacent, spaced, or overlapping) samples of the
ultra-resolution image 624' can be used to generate another
ultra-resolution image 840 (or an image with sub-pixel information)
which may then be cached into cache storage 880 by the optional
caching process 870. Each sample of the ultra-resolution image 840
may be based on the same number or differing numbers of samples
from the ultra-resolution image 810. The cached character
information 870 may then be accessed by a compositing process 850
which uses the foreground and background color information
524'.
[0109] .sctn. 4.1.2 Processes Associated with Processing
Non-character Analytic Images
[0110] The analytic image 702', such as a line drawing for example,
may be applied to the oversampling/overscaling process 622'/710' as
was the case with the character analytic image 512/525. However,
since the analytic image 702' may have different units than that of
the character analytic image 512/525, the scale factor 820 applied
may be different. In any event, the downstream processes may be
similarly applied.
[0111] .sctn. 4.1.3 Processes Associated with Processing
Ultra-resolution Images
[0112] Since an ultra resolution image 704' is already "digitized",
that is, not merely mathematically expressed contours or lines
between points, it may be applied directly to the process 830 for
combining displaced samples of the ultra-resolution image 810 to
generate another ultra-resolution image 840 (or an image with
sub-pixel information). Downstream processing may then be similarly
applied.
[0113] .sctn. 4.1.4 Alternative Processing of Analytic Images
[0114] As shown, the functionality of the overscaling/oversampling
process 622'/710' and the processes 830 for combining displaced
samples may be combined into a single step analytic to digital
sub-pixel resolution conversion process 860.
[0115] Having introduced processes which may perform functions
related to various aspects of the present invention, exemplary
apparatus, methods and data structures which may be used to effect
these processes are described in .sctn. 4.3 below. First, however,
an exemplary environment in which the present invention may operate
is introduced in .sctn. 4.2 below.
[0116] .sctn. 4.2 Exemplary Environments in which the Invention May
Operate
[0117] As alluded to above, the present invention may be used in
the context of increasing the resolution of text to be rendered on
a display, an analytic image, such as line art for example, to be
rendered on a display, or ultra-resolution graphics to be rendered
on a display.
[0118] The techniques of the present invention may be applied to a
known character rendering system such as that illustrated in FIG. 6
and described in .sctn. 1.2.2.2.1 above. The graphics display
interface 522 would be modified. More specifically, the scaling
process 622 and the outline fill process 628 would be replaced with
the overscaling/oversampling process 622'/710', the downscaling
process 807, the sampling process 806, and the process 830 for
combining displaced samples of the present invention, or
alternatively, replaced with the analog to digital sub-pixel
conversion process 860 of the present invention. The techniques of
the present invention may be similarly applied to a known analytic
image rendering system. In some embodiments of the present
invention, intermediate results, such as the results generated from
a first filtering act of a two-part filtering technique, may be
generated. The second filtering act of the two-part filtering
technique may then be performed on such intermediate results. The
final result of the second filtering act may then be cached. In
such embodiments, the first filtering act of the two-part filtering
technique may be performed by a font driver, while the second
filtering act of the two-part filtering technique may then be
performed by the graphics display interface (or "GDI") of the
operating system.
[0119] Finally, techniques of the present invention may be applied
to a known graphics rendered system such as that illustrated in
FIG. 7 and described in .sctn..sctn. 1.2.3 and 1.2.4 above. The
scaling process 710 would be replaced with a scaling process
622'/710' and a process 830 for combining displaced samples, or
just a process 830 for combining displaced samples.
[0120] .sctn. 4.3 Exemplary Embodiments, Methods, and Data
Structures
[0121] Exemplary apparatus in which at least some aspects of the
present invention may be implemented are disclosed in .sctn. 4.3.1
below. Then, exemplary methods for effecting processes of the
present invention are disclosed in .sctn. 4.3.2.
[0122] .sctn. 4.3.1 Exemplary Apparatus
[0123] FIGS. 10 and 29 and the following discussion provide a
brief, general description of an exemplary apparatus in which at
least some aspects of the present invention may be implemented.
Various methods of the present invention will be described in the
general context of computer-executable instructions, such as
program modules and/or routines for example, being executed by a
computing device such as a personal computer. Other aspects of the
invention will be described in terms of physical hardware such as
display device components and display screens for example.
[0124] Naturally, the methods of the present invention may be
effected by apparatus other than those described. Program modules
may include routines, programs, objects, components, data
structures (e.g., look-up tables, etc.) that perform task(s) or
implement particular abstract data types. Moreover, those skilled
in the art will appreciate that at least some aspects of the
present invention may be practiced with other configurations,
including hand held devices, multiprocessor systems,
microprocessor-based or programmable consumer electronics, network
computers, minicomputers, set top boxes, mainframe computers,
displays used in, e.g., automotive, aeronautical, industrial
applications, and the like. At least some aspects of the present
invention may also be practiced in distributed computing
environments where tasks are performed by remote processing devices
linked through a communications network. In a distributed computing
environment, program modules may be located in local and/or remote
memory storage devices.
[0125] FIG. 10 is a block diagram of an exemplary apparatus 1000
which may be used to implement at least some aspects of the present
invention. A personal computer 1020 may include a processing unit
1021, a system memory 1022, and a system bus 1023 that couples
various system components including the system memory 1022 to the
processing unit 1021. The system bus 1023 may be any of several
types of bus structures including a memory bus or memory
controller, a peripheral bus, and a local bus using any of a
variety of bus architectures. The system 1022 memory may include
read only memory (ROM) 1024 and/or random access memory (RAM) 1025.
A basic input/output system 1026 (BIOS), including basic routines
that help to transfer information between elements within the
personal computer 1020, such as during start-up, may be stored in
ROM 1024. The personal computer 1020 may also include a hard disk
drive 1027 for reading from and writing to a hard disk, (not
shown), a magnetic disk drive 1028 for reading from or writing to a
(e.g., removable) magnetic disk 1029, and an optical disk drive
1030 for reading from or writing to a removable (magneto) optical
disk 1031 such as a compact disk or other (magneto) optical media.
The hard disk drive 1027, magnetic disk drive 1028, and (magneto)
optical disk drive 1030 may be coupled with the system bus 1023 by
a hard disk drive interface 1032, a magnetic disk drive interface
1033, and a (magneto) optical drive interface 1034, respectively.
The drives and their associated storage media provide nonvolatile
storage of machine readable instructions, data structures, program
modules and other data for the personal computer 1020. Although the
exemplary environment described herein employs a hard disk, a
removable magnetic disk 1029 and a removable optical disk 1031,
those skilled in the art will appreciate that other types of
storage media, such as magnetic cassettes, flash memory cards,
digital video disks, Bernoulli cartridges, random access memories
(RAMs), read only memories (ROM), and the like, may be used instead
of, or in addition to, the storage devices introduced above.
[0126] A number of program modules may be stored on the hard disk
1023, magnetic disk 1029, (magneto) optical disk 1031, ROM 1024 or
RAM 1025, such as an operating system 1035, one or more application
programs 1036, other program modules 1037, display driver 530/1032,
and/or program data 1038 for example. The RAM 1025 can also be used
for storing data used in rendering images for display as will be
discussed below. A user may enter commands and information into the
personal computer 1020 through input devices, such as a keyboard
1040 and pointing device 1042 for example. Other input devices (not
shown) such as a microphone, joystick, game pad, satellite dish,
scanner, or the like may also be included. These and other input
devices are often connected to the processing unit 1021 through a
serial port interface 1046 coupled to the system bus. However,
input devices may be connected by other interfaces, such as a
parallel port, a game port or a universal serial bus (USB). A
monitor 560/1047 or other type of display device may also be
connected to the system bus 1023 via an interface, such as a
display adapter 550/1048, for example. In addition to the monitor
560/1047, the personal computer 1020 may include other peripheral
output devices (not shown), such as speakers and printers for
example.
[0127] The personal computer 1020 may operate in a networked
environment which defines logical connections to one or more remote
computers, such as a remote computer 1049. The remote computer 1049
may be another personal computer, a server, a router, a network PC,
a peer device or other common network node, and may include many or
all of the elements described above relative to the personal
computer 1020. The logical connections depicted in FIG. 10A include
a local area network (LAN) 1051 and a wide area network (WAN) 1052
(such as an intranet and the Internet for example).
[0128] When used in a LAN, the personal computer 1020 may be
connected to the LAN 1051 through a network interface adapter card
(or "NIC") 1053. When used in a WAN, such as the Internet, the
personal computer 1020 may include a modem 1054 or other means for
establishing communications over the wide area network 1052. The
modem 1054, which may be internal or external, may be connected to
the system bus 1023 via the serial port interface 1046. In a
networked environment, at least some of the program modules
depicted relative to the personal computer 1020 may be stored in
the remote memory storage device. The network connections shown are
exemplary and other means of establishing a communications link
between the computers may be used.
[0129] FIG. 29 is a more general machine 2900 which may effect at
least some aspects of the present invention. The machine 2900
basically includes a processor(s) 2902, an input/output interface
unit(s) 2904, a storage device(s) 2906, and a system bus or network
2908 for facilitating data and control communications among the
coupled elements. The processor(s) 2902 may execute
machine-executable instructions to effect one or more aspects of
the present invention. At least a portion of the machine executable
instructions and data structures may be stored (temporarily or more
permanently) on the storage devices 2906 and/or may be received
from an external source via an input interface unit 2904.
[0130] Having described exemplary apparatus which may be used to
effect at least some aspects of the present invention, exemplary
methods for effecting at least some of the processes discussed in
.sctn. 4.1 above are described.
[0131] .sctn. 4.3.2 Exemplary Methods
[0132] In each of the following exemplary methods, a one-part
filtering act or a two-part filtering act is referenced. An example
of applying a one-part filter and a two-part filter are described
in .sctn. 4.3.3 below with reference to FIGS. 30 and 31. First,
however, the exemplary methods are described below.
[0133] FIG. 11 illustrates an operation of an exemplary resolution
enhancement method 1200 which may be used to effect the analytic to
digital sub-pixel conversion process 860. FIG. 12 is a flow diagram
of this method 1200. Referring to both FIGS. 11 and 12, continuous
one dimensional RGB functions (or functions of other color spaces)
1110 are accepted in act 1210. Each one of the color component
inputs 1110 are then sampled (or filtered) as shown in act 1220. As
shown by the brackets 1120 of FIG. 11, these filters 1120 may be a
three-emitter (where an "emitter" is a sub-pixel component) wide
box filter. Notice that the filters 1120 are spatially displaced
from one another. The spatially displaced filters may be spaced,
immediately adjacent, or partially overlapping. The output of each
of the filters 1120 is a color value 1130 of an emitter. These
values 1130 may be gamma corrected (or adjusted) based on a gamma
(or other) response of the display 560 on which the image is to be
rendered as shown in act 1230. The method 1200 is then left via
RETURN node 1240.
[0134] The method 1200 is ideal in that there are no extra aliasing
artifacts introduced. However, to effect the filters 1120, an
integral over a continuous function 1110 is evaluated. This
integration is possible when the input image 1110 is described
analytically, but this is not always the case.
[0135] FIG. 13 illustrates an operation of a disfavored exemplary
resolution enhancement method 1400. FIG. 14 is a flow diagram of
this method 1400. Referring to both FIGS. 13 and 14, a luminance
image (Y) 1310 is sampled three (3) times per output pixel (which
works out to once per sub-pixel component in a striped RGB monitor)
as shown in act 1410. This sampling generates three luminance Y
samples 1320 per pixel. Then, three adjacent samples are box
filtered, that is averaged together (Note filters 1330 of FIG.
13.), to generate red, green and blue sub-pixel component values
1340, as shown in act 1420. The method 1400 is then left via RETURN
node 1430.
[0136] Unfortunately, since this method 1400 only samples three (3)
times per pixel, it produces aliasing artifacts. More specifically,
sampling at a particular frequency "folds" frequencies above the
Nyquist rate down to frequencies below the Nyquist rate. In this
method 1400, frequencies above 3/2 cycles per pixel are folded down
to frequencies below that rate. In particular, sampling three (3)
times per output pixel causes input frequencies of two (2) cycles
per pixel to be aliased down to one (1) cycle per pixel which
causes unwanted color fringing. Also, the method 1400 does not
generalize correctly to full color images since it operates on
luminance (Y) only. Further, device response (e.g., gamma)
correction is not effected.
[0137] FIG. 15 illustrates an operation of an exemplary resolution
enhancement method 1600. This method 1600 may be used to effect the
process 830 for combining displaced samples. FIG. 16 is a flow
diagram of this method 1600. Referring to both FIGS. 15 and 16, the
following loop of acts is performed for each color scan line 1510
as defined by 1610 and 1660. First, discrete values of the color
scan line 1510 are accepted as shown in act 1620. The scanline 1510
of the associated color being processed comprises N samples per
emitter (which may be 3N per pixel in an RGB striped monitor). As
shown in FIG. 15, the scan lines 1510 contain N=2 samples per
emitter. Then, the samples 1515 are filtered (e.g., averaged) to
generate new samples of a three (3) times oversampled color scan
line 1520 as shown in act 1640. Then, as shown in act 1650, the new
samples 1520 are filtered again, for example with box filters shown
as brackets 1525, to generate color values 1530 associated with
sub-pixel components. In the illustrated embodiment, the filters
(e.g., box filters) 1525 are centered at locations that correspond
to the centers of the sub-pixel elements. Thus, notice that the
filters 1525 are offset, and consequently operate at distinct
positions within the image, for each of the color components as
shown. The offset of the filters 1525 such that they operate at
distinct positions within the image distinguishes the present
invention over standard anti-aliasing techniques. Each of the
filters 1525 may also have distinct filter weighting coefficients,
which further distinguishes the present invention over standard
anti-aliasing techniques. These acts are repeated if there are any
further colors to be processed as shown by loop 1610-1660. Once all
of the colors are processed, the filter output may be gamma
corrected (or adjusted) based on the gamma (or other) response of
the display 560 on which the image is to be rendered as shown in
act 1670. The process 1600 is left via RETURN node 1680.
[0138] As shown in FIG. 15, the separate colors may be processed in
parallel rather than in a sequence of loops as depicted in the
method 1600 of FIG. 16.
[0139] The number of samples per emitter N may be two (2). This
minimizes extra aliasing artifacts. As N increases, the
computational load for filtering increases. For N=2, frequencies
that are five (5) cycles per pixel get aliased into one (1) cycle
per pixel. However, the frequency spectrum of edges tend to go as
1/f, so that using N=2 sampling should yield about 2.5 times less
color fringing due to aliasing than N=1. Setting the samples per
emitter N to be greater than two (2) yields even less aliasing,
but, as stated above, adds computational complexity. Further, the
output of the N=2 filters require less precision to store exactly,
and therefore consume less memory and may be faster due to
decreased memory bandwidth requirements. For example, for a
patterned display device have three color emitters per pixel, if
N.gtoreq.3, more than one byte per pixel may be needed to store the
character information.
[0140] FIG. 17 illustrates an operation of an exemplary resolution
enhancement method 1800. This method 1800 may be used to effect the
process 830 for combining displaced samples. FIG. 18 is a flow
diagram of this method 1800. The method 1800 of FIG. 18 is similar
to that method 1600 of FIG. 16. However, the per-emitter
pre-filtering (1640) and the filtering (1650) are combined into one
filter. This is possible since both operations are linear.
[0141] Referring now to both FIGS. 17 and 18, the following loop of
acts is performed for each color scan line 1710 as defined by acts
1810 and 1840. First, discrete values of the color scan line 1710
are accepted as shown in act 1820. The scan line 1710 of the
associated color being processed is then filtered, in one step, to
generate a color scan line as shown in act 1830. As shown, a filter
(e.g., a box filter) 1720 may be applied to a six-times oversampled
(N=2) scanline for each color. The filter 1720 may be centered at
the sub-pixel element location. Thus, notice that the filters 1720
are offset, and consequently operate at distinct positions within
the image, for each of the color components as shown. The offset of
the filters 1720 such that they operate at distinct positions
within the image distinguishes the present invention over standard
anti-aliasing techniques. Naturally, other filters can be used and
other values of N can be used. These acts are repeated if there are
any further colors to be processed as shown by loop 1810-1840. Once
all of the colors are processed, the filter output may be gamma
corrected (or adjusted) based on the gamma (or other) response of
the display 560 on which the image is to be rendered as shown in
act 1850. The process 1800 is then left via RETURN node 1860.
[0142] As shown in FIG. 17, the separate colors may be processed in
parallel rather than in a sequence of loops as depicted in the
method 1800 of FIG. 18.
[0143] The methods 1600 and 1800 just described operate on three
color channels. However, fonts (and line art) are typically not a
general RGB image. Rather, fonts (and line art) may be described as
a blend (also referred to as "alpha" or .sup..alpha.) between a
foreground color and a background color. Assume that the blending
coefficient at a location x is .sup..alpha.(x), the foreground
color is f and the background color is b. Assume further that a
filter output is expressed as L[ ]. Then, the output of a filter of
the present invention applied to a font image may be expressed
as:
L[f.sup..alpha.(x)+b(1-.sup..alpha.(x))] (2)
[0144] Since L is linear, equation (2) may be expressed as:
fL[.sup..alpha.(x)]+b(1-L[.sup..alpha.(x)]) (3)
[0145] As these expressions show, only alpha need be filtered. The
results of the filtering can then be used as new blending
coefficients between the foreground color and the background color.
The following methods exploit this observation.
[0146] FIG. 19 illustrates an operation of an exemplary resolution
enhancement method 2000. The method 2000 may be used to effect the
process 830 for combining displaced samples. FIG. 20 is a flow
diagram of this method 2000. Referring to both FIGS. 19 and 20, an
analytic blending coefficient (alpha) 1910 is filtered, using
displaced filters (See, e.g., three times oversampling filters
1920.), to generate oversampled blend coefficient values 1930 as
shown in act 2010. Then, as shown by loop 2020-2040, for each
color, color samples 1940 are determined based on the foreground
1932, the background 1934, and the blend coefficient samples 1930.
The output 1940 may then be gamma corrected (or adjusted) 1950
based on the gamma (or other) response of the display 560 on which
the image is to be rendered as shown in act 2050. Although not
shown in FIG. 19, an inverse display response (e.g., gamma)
correction may be performed on the foreground 1932 and background
1934 colors before the blend operation. The method 2000 is then
left via RETURN node 2060. As can be seen from FIG. 19, in one
embodiment, there are three (3) alpha oversamples 1930 per pixel,
one (1) per sub-pixel component.
[0147] As shown in FIG. 19, the separate colors may be processed in
parallel rather than in a sequence of loops as depicted in the
method 2000 of FIG. 20.
[0148] FIG. 21 illustrates an operation of an exemplary resolution
enhancement method 2200. FIG. 22 is a flow diagram of this method
2200. The method 2200 may be used to effect the process 830 for
combining displaced samples. This method is somewhat of a hybrid
between the method 1600 of FIG. 16 and the method 2000 of FIG. 20.
Referring to both FIGS. 21 and 22, oversampled blending coefficient
(alpha) samples 2110 are accepted as shown in act 2210. These
oversampled samples are then filtered (e.g., averaged) (See bracket
2115.) to generate a new set of blend coefficients (alphas) 2120 as
shown in act 2220. Then, as shown in act 2230, the new set of blend
coefficients (alphas) 2120 are filtered again (See, e.g., the
filters 2125.) to generate a final set of blend coefficients
(alphas) 2130. The final set of blend coefficients (alsphs) 2130
may be cached. The process then continues as did the process 2000.
More specifically, as shown by loop 2240-2250, for each color,
color samples 2140 are determined based on the foreground 2132, the
background 2134, and the final set of blend coefficient samples
2130. The output 2140 may then be gamma corrected (or adjusted)
2150 based on the gamma (or other) response of the display 560 on
which the image is to be rendered as shown in act 2270. Although
not shown in FIG. 21, an inverse display response (e.g., gamma)
correction may be performed on the foreground 2132 and background
2134 colors before the blend operation. The method 2200 is then
left via RETURN node 2280. As can be seen from FIG. 21, in one
embodiment, there are three (3) alpha oversamples 2130 per pixel,
one (1) per sub-pixel component.
[0149] As shown in FIG. 21, the separate colors may be processed in
parallel rather than in a sequence of loops as depicted in the
method 2200 of FIG. 22.
[0150] Notice from FIG. 21 that the first filtering (e.g.,
averaging) act 2220 and the second filtering act 2230 of the method
2200 effectively generate one (1) final blend coefficient (alpha)
sample 2130 from six (6) oversampled blend coefficient (alpha)
samples 2110. The method 2400 of FIG. 24 combines these two
filtering operations into a single filtering operation. FIG. 23
illustrates an exemplary operation of the method 2400 of FIG. 24.
The method 2400 may be used to effect the process 830 for combining
displaced samples. Referring to both FIGS. 23 and 24, oversampled
blending coefficient (alpha) samples 2110 are accepted as shown in
act 2410. These oversampled samples are then filtered (See, e.g.,
the filters 2320.) to generate a final set of blend coefficients
(alphas) 2330 as shown in act 2420. The process then continues as
did the process 2200. More specifically, as shown by loop
2430-2450, for each color, color samples 2340 are determined based
on the foreground 2132, the background 2134, and the final set of
blend coefficient samples 2330. The output 2340 may then be gamma
corrected (or adjusted) 2150 based on the gamma (or other) response
of the display 560 on which the image is to be rendered as shown in
act 2460. Although not shown in FIG. 23, an inverse display
response (e.g., gamma) correction may be performed on the
foreground 2132 and background 2134 colors before the blend
operation. The method 2400 is then left via RETURN node 2470. As
can be seen from FIG. 23, in one embodiment, there are three (3)
alpha oversamples 2330 per pixel, one (1) per sub-pixel
component.
[0151] As shown in FIG. 23, the separate colors may be processed in
parallel rather than in a sequence of loops as depicted in the
method 2400 of FIG. 24.
[0152] In the methods 2200 of FIG. 22 and 2400 of FIG. 24, it was
assumed that the blend coefficient (alpha) would be applied to a
constant foreground color 2132r, 2132g, 2132b and a constant
background color 2134r, 2134g, 2134b. However, if the image, such
as a character image, has a shaded background, such as a background
having a color gradient for example, the blend coefficients
(alphas) can be used to interpolate between a non-constant
foreground and/or background colors.
[0153] The method 2600 of FIG. 26 is similar to the method 2200 of
FIG. 22, but permits the foreground and/or background colors to
change with position. The method 2600 may be used to effect the
process 830 for combining displaced samples. FIG. 25 illustrates an
example of the operation of the method 2600 of FIG. 26. Referring
to both FIGS. 25 and 26, oversampled blending coefficient (alpha)
samples 2110 are accepted as shown in act 2610. These oversampled
samples are then filtered (e.g., averaged) (See bracket 2115.) to
generate a new set of blend coefficients (alphas) 2120 as shown in
act 2620. Then, as shown in act 2630, the new set of blend
coefficients (alphas) 2120 are filtered (See, e.g., the filters
2125.) to generate a final set of blend coefficients (alphas) 2130.
This final set of blend coefficients (alphas) 2130 may then be
cached. As shown by nested loops 2640-2680 and 2650-2670, for each
position and for each color (which may vary with position), color
values 2540 associated with sub-pixel components are determined
based on the foreground 2132 at the position, the background 2134
at the position, and the final set of blend coefficient samples
2130. In an alternative embodiment, these loops can be re-ordered
such that a position loop is nested within a color loop. The output
2540 may then be gamma corrected (or adjusted) 2550 based on the
gamma (or other) response of the display 560 on which the image is
to be rendered as shown in act 2690. Although not shown in FIG. 25,
an inverse display response (e.g., gamma) correction may be
performed on the foreground 2532 and background 2534 colors before
the blend operation. The method 2600 is then left via RETURN node
2695. As can be seen from FIG. 25, in one embodiment, there are
three (3) alpha oversamples 2130 per pixel, one (1) per sub-pixel
component.
[0154] As shown in FIG. 25, the separate colors, as well as the
separate foreground and background colors at separate positions,
may be processed in parallel rather than in a sequence of loops as
depicted in the method 2600 of FIG. 26.
[0155] The method 2800 of FIG. 28 is similar to the method 2400 of
FIG. 24, but permits the foreground and/or background colors to
change with position. Further, the method 2800 of FIG. 28 is
similar to the method 2600 of FIG. 26 but combines the separate
acts of filtering 2620 and 2630 into a single operation. The method
2800 may be used to effect the process 830 for combining displaced
samples. FIG. 27 illustrates an example of the operation of the
method 2800 of FIG. 28. Referring to both FIGS. 27 and 28,
oversampled blending coefficient (alpha) samples 2110 are accepted
as shown in act 2810. These oversampled samples are then filtered
(See, e.g., the filters 2320.) to generate a final set of blend
coefficients (alphas) 2330 as shown in act 2820. The method 2800
then continues as did the method 2600. More specifically, as shown
by nested loops 2830-2870 and 2840-2860, for each position and for
each color (which may vary with position), color samples 2740 are
determined based on the foreground 2732 at the position, the
background 2734 at the position, and the final set of blend
coefficient samples 2330. In an alternative embodiment, these loops
can be reordered such that a position loop is nested within a color
loop. The output 2740 may then be gamma corrected (or adjusted)
2750 based on the gamma (or other) response of the display 560 on
which the image is to be rendered as shown in act 2880. Although
not shown in FIG. 27, an inverse display response (e.g., gamma)
correction may be performed on the foreground 2732 and background
2734 colors before the blend operation. The method 2800 is then
left via RETURN node 2890. As can be seen from FIG. 27, in one
embodiment, there are three (3) alpha oversamples 2130 per pixel,
one (1) per sub-pixel component.
[0156] As shown in FIG. 27, the separate colors may be processed in
parallel rather than in a sequence of loops as depicted in the
method 2800 of FIG. 28.
[0157] .sctn. 4.3.3 Exemplary Filtering Methods
[0158] FIG. 30 illustrates a scan line 3010 from a portion of an
overscaled character 940' (Recall, FIG. 9 in which the letter Q was
overscaled in the horizontal direction.). In this example, each
sample of the scan line 3010 has a value of "0" if its center is
outside of the character outline 940' and a value of "1" if its
center is within the character outline 940'. Other ways of
determining the value of scanline 3010 samples may be used instead.
For example, a sample of the scanline 3010 may have a value of "1"
if it is more than a predetermined percentage (e.g., 50%) within
the character outline 940', and a value of "0" if it is less than
or equal to the predetermined percentage within the character
outline 940'. These "samples" may correspond to alpha values, or
color component values.
[0159] FIG. 31 illustrates exemplary one-part and two-part
filtering techniques which may be used to filter samples of a
scanline 3010. The exemplary one-part filtering technique is
illustrated below the scanline 3010 and the exemplary two-part
filtering technique is illustrated above the scanline 3010.
[0160] In the exemplary one-part filtering technique illustrated
below the scanline 3010, notice that filters, depicted as brackets
3110, operate on six (6) samples of the scanline 3010 and are
offset by two (2) samples. The sums of the samples of the scanline
3010 within the filters 3110 are shown in line 3120. In this
example, it is assumed that the scanline 3010 is derived from a
character outline 940' overscaled six (6) times in the horizontal
(or X) direction. For example, the display on which the character
is to be rendered may include three (3) sub-pixel elements per
pixel, and the overscaling factor may be 3N, where N=2. The two (2)
sample offset between each of the filters 3110 may correspond to
the N=2 component of the overscaling factor.
[0161] In the exemplary two-part filtering technique illustrated
above the scanline 3010, notice that each filter of the first set
of filters, depicted as brackets 3130, operate on two (2) samples
of the scanline 3010 and are offset by two (2) samples. The
averages of the samples of the scanline 3010 within the filters
3130 are shown in line 3140. Notice further that each filter of the
second set of filters, depicted as brackets 3150, operate on three
(3) results 3140 generated from the first set of filters 3130 and
are offset by one (1) result 3140 (which corresponds to two (2)
samples of the scanline 3010). The average of the results 3140
within each filter 3150 of the second set of filters is determined
as shown by line 3160. Recall that in this example, it is assumed
that the scanline 3010 is derived from a character outline 940'
overscaled six (6) times in the horizontal (or X) direction. For
example, the display on which the character is to be rendered may
include three (3) sub-pixel elements per pixel, and the overscaling
factor may be 3N, where N=2.
[0162] Although the exemplary filters were described as performing
averaging or summing operations, other type of filters may be used.
For example, a filter that weights certain samples more than others
may be used.
[0163] .sctn. 4.4 Conclusions
[0164] As can be appreciated from the foregoing description, the
present invention can be used to improve the resolution of analytic
image information, such as character information and line art for
example, to be rendered on a patterned display device. Further, the
present invention can be used to improved the resolution of ultra
resolution image information, such as graphics for example, to be
rendered on a patterned display device.
* * * * *