U.S. patent number RE48,477 [Application Number 16/384,197] was granted by the patent office on 2021-03-16 for high resolution thin multi-aperture imaging systems.
This patent grant is currently assigned to Corephotonics Ltd. The grantee listed for this patent is Corephotonics Ltd.. Invention is credited to Noy Cohen, Oded Gigushinski, Ephraim Goldenberg, Gal Shabtay.
![](/patent/grant/RE048477/USRE048477-20210316-D00000.png)
![](/patent/grant/RE048477/USRE048477-20210316-D00001.png)
![](/patent/grant/RE048477/USRE048477-20210316-D00002.png)
![](/patent/grant/RE048477/USRE048477-20210316-D00003.png)
![](/patent/grant/RE048477/USRE048477-20210316-D00004.png)
![](/patent/grant/RE048477/USRE048477-20210316-D00005.png)
![](/patent/grant/RE048477/USRE048477-20210316-D00006.png)
![](/patent/grant/RE048477/USRE048477-20210316-D00007.png)
United States Patent |
RE48,477 |
Shabtay , et al. |
March 16, 2021 |
High resolution thin multi-aperture imaging systems
Abstract
A multi-aperture imaging system comprising a first camera with a
first sensor that captures a first image and a second camera with a
second sensor that captures a second image, the two cameras having
either identical or different FOVs. The first sensor may have a
standard color filter array (CFA) covering one sensor section and a
non-standard color CFA covering another. The second sensor may have
either Clear or standard CFA covered sections. Either image may be
chosen to be a primary or an auxiliary image, based on a zoom
factor. An output image with a point of view determined by the
primary image is obtained by registering the auxiliary image to the
primary image.
Inventors: |
Shabtay; Gal (Tel-Aviv,
IL), Cohen; Noy (Tel-Aviv, IL),
Gigushinski; Oded (Herzlia, IL), Goldenberg;
Ephraim (Ashdod, IL) |
Applicant: |
Name |
City |
State |
Country |
Type |
Corephotonics Ltd. |
Tel-Aviv |
N/A |
IL |
|
|
Assignee: |
Corephotonics Ltd (Tel Aviv,
IL)
|
Family
ID: |
50827245 |
Appl.
No.: |
16/384,197 |
Filed: |
April 15, 2019 |
Related U.S. Patent Documents
|
|
|
|
|
|
|
Application
Number |
Filing Date |
Patent Number |
Issue Date |
|
|
16383618 |
Apr 14, 2019 |
RE48444 |
|
|
|
14386823 |
|
9538152 |
|
|
|
PCT/IB2013/060356 |
Nov 23, 2013 |
|
|
|
|
61730570 |
Nov 28, 2012 |
|
|
|
Reissue of: |
15375090 |
Dec 11, 2016 |
9876952 |
Jan 23, 2018 |
|
Reissue of: |
15375090 |
Dec 11, 2016 |
9876952 |
|
|
|
Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06T
7/33 (20170101); G06T 7/00 (20130101); G01J
3/0229 (20130101); G06T 5/20 (20130101); G06T
7/337 (20170101); H04N 9/097 (20130101); G02B
5/1842 (20130101); G01J 3/18 (20130101); H04N
5/332 (20130101); H04N 5/2258 (20130101); G01J
3/2823 (20130101); G06T 11/60 (20130101); H04N
9/735 (20130101); H04N 5/23232 (20130101); H04N
9/04555 (20180801); H04N 9/04515 (20180801); H04N
5/23238 (20130101); G01J 3/0248 (20130101); G01J
3/36 (20130101); H04N 9/04557 (20180801); G02B
5/1814 (20130101); H04N 5/23296 (20130101); H04N
9/09 (20130101); H04N 9/04559 (20180801); G06T
11/60 (20130101); H04N 5/225 (20130101); H04N
9/09 (20130101); H04N 5/232 (20130101); G06T
5/20 (20130101); H04N 9/04 (20130101); G01J
3/0208 (20130101); G06T 2207/20221 (20130101); H04N
2209/045 (20130101) |
Current International
Class: |
H04N
5/232 (20060101); G06T 7/00 (20170101); H04N
9/04 (20060101); H04N 5/225 (20060101); H04N
9/09 (20060101); G06T 5/20 (20060101); G06T
11/60 (20060101) |
References Cited
[Referenced By]
U.S. Patent Documents
Foreign Patent Documents
|
|
|
|
|
|
|
101276415 |
|
Oct 2008 |
|
CN |
|
201514511 |
|
Jun 2010 |
|
CN |
|
102739949 |
|
Oct 2012 |
|
CN |
|
103024272 |
|
Apr 2013 |
|
CN |
|
103841404 |
|
Jun 2014 |
|
CN |
|
1536633 |
|
Jun 2005 |
|
EP |
|
1780567 |
|
May 2007 |
|
EP |
|
2523450 |
|
Nov 2012 |
|
EP |
|
S59191146A |
|
Oct 1984 |
|
JP |
|
04211230 |
|
Aug 1992 |
|
JP |
|
H07318864 |
|
Dec 1995 |
|
JP |
|
08271976 |
|
Oct 1996 |
|
JP |
|
2002010276 |
|
Jan 2002 |
|
JP |
|
2003298920 |
|
Oct 2003 |
|
JP |
|
2004133054 |
|
Apr 2004 |
|
JP |
|
2004245982 |
|
Sep 2004 |
|
JP |
|
2005099265 |
|
Apr 2005 |
|
JP |
|
2006238325 |
|
Sep 2006 |
|
JP |
|
2007228006 |
|
Sep 2007 |
|
JP |
|
2007306282 |
|
Nov 2007 |
|
JP |
|
2008076485 |
|
Apr 2008 |
|
JP |
|
2010204341 |
|
Sep 2010 |
|
JP |
|
2011085666 |
|
Apr 2011 |
|
JP |
|
2013106289 |
|
May 2013 |
|
JP |
|
20070005946 |
|
Jan 2007 |
|
KR |
|
20090058229 |
|
Jun 2009 |
|
KR |
|
20100008936 |
|
Jan 2010 |
|
KR |
|
20140014787 |
|
Feb 2014 |
|
KR |
|
101477178 |
|
Dec 2014 |
|
KR |
|
20140144126 |
|
Dec 2014 |
|
KR |
|
20150118012 |
|
Oct 2015 |
|
KR |
|
2000027131 |
|
May 2000 |
|
WO |
|
2004084542 |
|
Sep 2004 |
|
WO |
|
2006008805 |
|
Jan 2006 |
|
WO |
|
2009097552 |
|
Aug 2009 |
|
WO |
|
2010122841 |
|
Oct 2010 |
|
WO |
|
2014072818 |
|
May 2014 |
|
WO |
|
2017025822 |
|
Feb 2017 |
|
WO |
|
2017037688 |
|
Mar 2017 |
|
WO |
|
2018130898 |
|
Jul 2018 |
|
WO |
|
Other References
Statistical Modeling and Performance Characterization of a
Real-Time Dual Camera Surveillance System, Greienhagen et al.,
Publisher: IEEE, 2000, 8 pages. cited by applicant .
A 3MPixel Multi-Aperture Image Sensor with 0.7.mu.m Pixels in
0.11.mu.m CMOS, Fife et al., Stanford University, 2008, 3 pages.
cited by applicant .
Dual camera intelligent sensor for high definition 360 degrees
surveillance, Scotti et al., Publisher: IET, May 9, 2000, 8 pages.
cited by applicant .
Dual-sensor foveated imaging system, Hua et al., Publisher: Optical
Society of America, Jan. 14, 2008, 11 pages. cited by applicant
.
Defocus Video Matting, McGuire et al., Publisher: ACM SIGGRAPH,
Jul. 31, 2005, 11 pages. cited by applicant .
Compact multi-aperture imaging with high angular resolution,
Santacana et al., Publisher: Optical Society of America, 2015, 10
pages. cited by applicant .
Multi-Aperture Photography, Green et al., Publisher: Mitsubishi
Electric Research Laboratories, Inc., Jul. 2007, 10 pages. cited by
applicant .
Multispectral Bilateral Video Fusion, Bennett et al., Publisher:
IEEE, May 2007, 10 pages. cited by applicant .
Super-resolution imaging using a camera array, Santacana et al.,
Publisher: Optical Society of America, 2014, 6 pages. cited by
applicant .
Optical Splitting Trees for High-Precision Monocular Imaging,
McGuire et al., Publisher: IEEE, 2007, 11 pages. cited by applicant
.
High Performance Imaging Using Large Camera Arrays, Wilburn et al.,
Publisher: Association for Computing Machinery, Inc., 2005, 12
pages. cited by applicant .
Real-time Edge-Aware Image Processing with the Bilateral Grid, Chen
et al., Publisher: ACM SIGGRAPH, 2007, 9 pages. cited by applicant
.
Superimposed multi-resolution imaging, Caries et al., Publisher:
Optical Society of America, 2017, 13 pages. cited by applicant
.
Viewfinder Alignment, Adams et al., Publisher: Eurographics, 2008,
10 pages. cited by applicant .
Dual-Camera System for Multi-Level Activity Recognition, Bodor et
al., Publisher: IEEE, Oct. 2014, 6 pages. cited by applicant .
Engineered to the task: Why camera-phone cameras are different,
Giles Humpston, Publisher: Solid State Technology, Jun. 2009, 3
pages. cited by applicant .
International Search Report and Written Opinion issued in related
PCT patent application PCT/IB2013/060356, dated Apr. 17, 2014, 15
pages. cited by applicant.
|
Primary Examiner: Sager; Mark
Attorney, Agent or Firm: Nathan; Menachem Nathan &
Associates
Parent Case Text
CROSS REFERENCE TO RELATED APPLICATIONS
.[.This application is a Continuation application of U.S. patent
application Ser. No. 14/386,823 (now allowed), which was a National
Phase application from PCT patent application PCT/IB2013/060356
which claimed priority from U.S. Provisional Patent Application No.
61/730,570 having the same title and filed Nov. 28, 2012, the
latter incorporated herein by reference in its entirety..].
.Iadd.This broadening reissue application is a continuation of U.S.
patent application Ser. No. 16/383,618, filed Apr. 14, 2019 (now
allowed), which is a reissue application of U.S. patent application
Ser. No. 15/375,090, filed Dec. 11, 2016, now U.S. Pat. No.
9,876,952, which is a continuation of U.S. patent application Ser.
No. 14/386,823, filed Apr. 22, 2014, now U.S. Pat. No. 9,538,152,
which was a National Phase application from PCT application
PCT/IB2013/060356 which claimed priority from U.S. Provisional
Patent Application No. 61/730,570 having the same title and filed
Nov. 28, 2012, the latter incorporated herein by reference in its
entirety. The following three co-pending applications are also
continuation reissue applications of U.S. patent application Ser.
No. 16/383,618, filed Apr. 14, 2019: U.S. patent application Ser.
No. 16/384,140, filed Apr. 15, 2019, U.S. patent application Ser.
No. 16/384,244, filed Apr. 15, 2019, and U.S. patent application
Ser. No. 16/419,604, filed May 22, 2019..Iaddend.
Claims
What is claimed is:
.[.1. A multi-aperture imaging system comprising: a) a first camera
that provides a first camera image, the first camera having a first
sensor with a first plurality of sensor pixels covered at least in
part with a non-standard color filter array (CFA) used to increase
a specific color sampling rate relative to a same color sampling
rate in a standard CFA, wherein the non-standard CFA includes a
repetition of a n.times.n micro-cell where n=4 and wherein each
micro-cell includes a BBRR-RBBR-RRBB-BRRB color filter order; b) a
second camera that provides a second camera image, the second
camera having a second sensor with a second plurality of sensor
pixels, the second plurality of sensor pixels being either Clear or
covered with a standard CFA, wherein the second camera image has an
overlap area with the first camera image; and c) a processor
configured to process the first and second camera images into a
fused output image, wherein in the overlap area pixels of the
second camera image are registered with corresponding pixels of the
first camera image..].
.[.2. A multi-aperture imaging system comprising: a) a first camera
that provides a first camera image, the first camera having a first
sensor with a first plurality of sensor pixels covered at least in
part with a non-standard color filter array (CFA) used to increase
a specific color sampling rate relative to a same color sampling
rate in a standard CFA, wherein the non-standard CFA includes a
repetition of a n.times.n micro-cell where n=6 and wherein each
micro-cell includes a color filter order selected from the group
consisting of RBBRRB-RWRBWB-BBRBRR-RRBRBB-BWBRWR-BRRBBR,
BBGRRG-RGRBGB-GBRGRB-RRGBBG-BGBRGR-GRBGBR,
RBBRRB-RGRBGB-BBRBRR-RRBRBB-BGBRGR-BRRBBR and
RBRBRB-BGBRGR-RBRBRB-BRBRBR-RGRBGB-BRBRBR; b) a second camera that
provides a second camera image, the second camera having a second
sensor with a second plurality of sensor pixels, the second
plurality of sensor pixels being either Clear or covered with a
standard CFA, wherein the second camera image has an overlap area
with the first camera image; and c) a processor configured to
process the first and second camera images into a fused output
image, wherein in the overlap area pixels of the second camera
image are registered with corresponding pixels of the first camera
image..].
.[.3. The multi-aperture imaging system of claim 1, wherein the
first camera is a Wide camera with a field of view FOV.sub.w and
wherein the second camera is a Tele camera with a field of view
FOV.sub.T smaller than FOV.sub.w..].
.[.4. A method of acquiring images by a multi-aperture imaging
system, the method comprising: a) providing a first image generated
by a first camera of the imaging system, the first camera having a
first field of view (FOV.sub.1); b) providing a second image
generated by a second camera of the imaging system, the second
camera having a second field of view (FOV.sub.2) such that
FOV.sub.2<FOV.sub.1, the second image having an overlap area
with the first image; and c) fusing the first and second images
into a fused image, wherein the fusing includes applying a
registration process between the first and second images, the
registration process including: i. extracting a first Luma image
from the first image ii. extracting a second Luma image from the
second image, iii. applying low-pass filtering on the second Luma
image in order to match its spatial frequency content to that of
the first Luma image and to generate a low-pass second Luma image,
and iv. applying registration on the low-pass second Luma image and
the first Luma image, wherein the non-standard CFA includes a
repetition of a n.times.n micro-cell where n=4 and wherein each
micro-cell includes a BBRR-RBBR-RRBB-BRRB color filter
order..].
.[.5. The method of claim 4, wherein n=6 instead of n=4 and wherein
instead of each micro-cell including a BBRR-RBBR-RRBB-BRRB color
filter order, each micro-cell includes a color filter order
selected from the group consisting of
RBBRRB-RWRBWB-BBRBRR-RRBRBB-BWBRWR-BRRBBR,
BBGRRG-RGRBGB-GBRGRB-RRGBBG-BGBRGR-GRBGBR,
RBBRRB-RGRBGB-BBRBRR-RRBRBB-BGBRGR-BRRBBR and
RBRBRB-BGBRGR-RBRBRB-BRBRBR-RGRBGB-BRBRBR..].
.Iadd.6. A color filter array (CFA) comprising: a first 2.times.2
color filter group having three blue color filters and a fourth
color filter that is not a blue color filter..Iaddend.
.Iadd.7. The CFA of claim 6, wherein the CFA comprises a second
2.times.2 color filter group having three red color filters and a
fourth color filter that is not a red color filter..Iaddend.
.Iadd.8. The CFA of claim 7, wherein one of the red color filters
is adjacent to one of the blue color filters..Iaddend.
.Iadd.9. The CFA of claim 7, wherein the fourth color filter that
is not a blue color filter is disposed in a first position in the
first 2.times.2 color filter group and wherein the fourth color
filter that is not a red color filter is disposed in a same first
position in the second 2.times.2 color filter group..Iaddend.
.Iadd.10. A color filter array (CFA), comprising: a) a first
3.times.3 color filter group, having eight color filters and a
first white filter; and b) a second 3.times.3 color filter group
having eight color filters and a second white filter..Iaddend.
.Iadd.11. The CFA of claim 10, wherein the first 3.times.3 color
filter group has a first red color filter, a second red color
filter adjacent to the first red color filter in a first direction,
a third red color filter and a fourth red color filter adjacent to
the third color filter in the first direction..Iaddend.
.Iadd.12. The CFA of claim 11, wherein the second 3.times.3 color
filter group has a first blue color filter, a second blue color
filter adjacent to the first blue color filter in the first
direction, a third blue color filter and a fourth blue color filter
adjacent to the third blue color filter in the first
direction..Iaddend.
.Iadd.13. The CFA of claim 12, wherein the first white pixel is
disposed in a first position in the first 3.times.3 color filter
group and wherein the second white pixel is disposed in a same
first position in the second 3.times.3 color filter
group..Iaddend.
.Iadd.14. The CFA of claim 13, wherein the first position is a
center of the first 3.times.3 pixel filter group..Iaddend.
.Iadd.15. A color filter array (CFA) comprising: a) a first
3.times.3 color filter group having two adjacent red color filters;
and b) a second 3.times.3 color filter group having two adjacent
blue color filters..Iaddend.
.Iadd.16. The CFA of claim 15, wherein the first 3.times.3 color
filter group includes two additional adjacent red color filters and
wherein the second 3.times.3 color filter group includes two
additional adjacent blue color filters..Iaddend.
Description
FIELD
Embodiments disclosed herein relate in general to multi-aperture
imaging ("MAI") systems (where "multi" refers to two or more
apertures) and more specifically to thin MAI systems with high
color resolution and/or optical zoom.
BACKGROUND
Small digital cameras integrated into mobile (cell) phones,
personal digital assistants and music players are becoming
ubiquitous. Each year, mobile phone manufacturers add more imaging
features to their handsets, causing these mobile imaging devices to
converge towards feature sets and image quality that customers
expect from standalone digital still cameras. Concurrently, the
size of these handsets is shrinking, making it necessary to reduce
the total size of the camera accordingly while adding more imaging
features. Optical Zoom is a primary feature of many digital still
cameras but one that mobile phone cameras usually lack, mainly due
to camera height constraints in mobile imaging devices, cost and
mechanical reliability.
Mechanical zoom solutions are common in digital still cameras but
are typically too thick for most camera phones. Furthermore, the
F/# ("F number) in such systems typically increases with the zoom
factor (ZF) resulting in poor light sensitivity and higher noise
(especially in low-light scenarios). In mobile cameras, this also
results in resolution compromise, due to the small pixel size of
their image sensors and the diffraction limit optics associated
with the F/#.
One way of implementing zoom in mobile cameras is by over-sampling
the image and cropping and interpolating it in accordance with the
desired ZF. While this method is mechanically reliable, it results
in thick optics and in an expensive image sensor due to the large
number of pixels so associated therewith. As an example, if one is
interested in implementing a 12 Megapixel camera with X3 ZF, one
needs a sensor of 108 Megapixels.
Another way of implementing zoom, as well as increasing the output
resolution, is by using a dual-aperture imaging ("DAI") system. In
its basic form, a DAI system includes two optical apertures which
may be formed by one or two optical modules, and one or two image
sensors (e.g., CMOS or CCD) that grab the optical image or images
and convert the data into the electronic domain, where the image
can be processed and stored.
The design of a thin MAI system with improved resolution requires a
careful choice of parameters coupled with advanced signal
processing algorithms to support the output of a high quality
image. Known MAI systems, in particular ones with short optical
paths, often trade-off functionalities and properties, for example
zoom and color resolution, or image resolution and quality for
camera module height. Therefore, there is a need for, and it would
be advantageous to have thin MAI systems that produce an image with
high resolution (and specifically high color resolution) together
with zoom functionality.
Moreover, known signal processing algorithms used together with
existing MAI systems often further degrade the output image quality
by introducing artifacts when combining information from different
apertures. A primary source of these artifacts is the image
registration process, which has to find correspondences between the
different images that are often captured by different sensors with
different color filter arrays (CFAs). There is therefore a need
for, and it would be advantageous to have an image registration
algorithm that is more robust to the type of CFA used by the
cameras and which can produce better correspondence between images
captured by a multi-aperture system.
SUMMARY
Embodiments disclosed herein teach the use of multi-aperture
imaging systems to implement thin cameras (with short optical paths
of less than about 9 mm) and/or to realize optical zoom systems in
such thin cameras. Embodiments disclosed herein further teach new
color filter arrays that optimize the color information which may
be achieved in a multi-aperture imaging system with or without
zoom. In various embodiments, a MAI system disclosed herein
includes at least two sensors or a single sensor divided into at
least two areas. Hereinafter, the description refers to "two
sensors", with the understanding that they may represent sections
of a single physical sensor (imager chip). Exemplarily, in a
dual-aperture imaging system, a left sensor (or left side of a
single sensor) captures an image coming from a first aperture while
a right sensor (or right side of a single sensor) captures an image
coming from a second aperture. In various embodiments disclosed
herein, one sensor is a "Wide" sensor while another sensor is a
"Tele" sensor, see e.g. FIG. 1A. The Wide sensor includes either a
single standard CFA or two different CFAs: a non-standard CFA with
higher color sampling rate positioned in an "overlap area" of the
sensor (see below description of FIG. 1B) and a standard CFA with a
lower color sampling rate surrounding the overlap area. When
including a single standard CFA, the CFA may cover the entire Wide
sensor area. A "standard CFA" may include a RGB (Bayer) pattern or
a non-Bayer pattern such as RGBE, CYYM, CYGM, RGBW#1, RGBW#2 or
RGBW#3. Thus, reference may be made to "standard Bayer" or
"standard non-Bayer" patterns or filters. As used herein,
"non-standard CFA" refers to a CFA that is different in its pattern
that CFAs listed above as "standard". Exemplary non-standard CFA
patterns may include repetitions of a 2.times.2 micro-cell in which
the color filter order is RR-BB, RB-BR or YC-CY where
Y=Yellow=Green+Red, C=Cyan=Green+Blue; repetitions of a 3.times.3
micro-cell in which the color filter order is GBR-RGB-BRG; and
repetitions of a 6.times.6 micro-cell in which the color filter
order is RBBRRB-RWRBWB-BBRBRR-RRBRBB-BWBRWR-BRRBBR, or
BBGRRG-RGRBGB-GBRGRB-RRGBBG-BGBRGR-GRBGBR, or
RBBRRB-RGRBGB-BBRBRR-RRBRBB-BGBRGR-BRRBBR, or,
RBRBRB-BGBRGR-RBRBRB-BRBRBR-RGRBGB-BRBRBR.
The Tele sensor may be a Clear sensor (i.e. a sensor without color
filters) or a standard CFA sensor. This arrangement of the two (or
more than two) sensors and of two (or more than two) Wide and Tele
"subset cameras" (or simply "subsets") related to the two Wide and
Tele subsets. Each sensor provides a separate image (referred to
respectively as a Wide image and a Tele image), except for the case
of a single sensor, where two images are captured (grabbed) by the
single sensor (example above). In some embodiments, zoom is
achieved by fusing the two images, resulting in higher color
resolution that approaches that of a high quality dual-aperture
zoom camera. Some thin MAI systems disclosed herein therefore
provide zoom, super-resolution, high dynamic range and enhanced
user experience.
In some embodiments, in order to reach optical zoom capabilities, a
different magnification image of the same scene is grabbed by each
subset, resulting in field of view (FOV) overlap between the two
subsets. In some embodiments, the two subsets have the same zoom
(i.e. same FOV). In some embodiments, the Tele subset is the higher
zoom subset and the Wide subset is the lower zoom subset. Post
processing is applied on the two images grabbed by the MAI system
to fuse and output one fused (combined) output zoom image processed
according to a user ZF input request. In some embodiments, the
resolution of the fused image may be higher than the resolution of
the Wide/Tele sensors. As part of the fusion procedure, up-sampling
may be applied on the Wide image to scale it to the Tele image.
In an embodiment there is provided a multi-aperture imaging system
comprising a first camera subset that provides a first image, the
first camera subset having a first sensor with a first plurality of
sensor pixels covered at least in part with a non-standard CFA, the
non-standard CFA used to increase a specific color sampling rate
relative to a same color sampling rate in a standard CFA; a second
camera subset that provides a second image, the second camera
subset having a second sensor with a second plurality of sensor
pixels either Clear or covered with a standard CFA; and a processor
configured to process the first and second images into a combined
output image.
In some embodiments, the first and the second camera subsets have
identical FOVs and the non-standard CFA may cover an overlap area
that includes all the pixels of first sensor, thereby providing
increased color resolution. In some such embodiments, the processor
is further configured to, during the processing of the first and
second images into a combined output image, register respective
first and second Luma images obtained from the first and second
images, the registered first and second Luma images used together
with color information to form the combined output image. In an
embodiment, the registration includes finding a corresponding pixel
in the second Luma image for each pixel in the first Luma image,
whereby the output image is formed by transferring information from
the second image to the first image. In another embodiment, the
registration includes finding a corresponding pixel in the first
Luma image for each pixel in the second Luma image, whereby the
output image is formed by transferring information from the first
image to the second image.
In some embodiments, the first camera subset has a first FOV, the
second camera subset has a second, smaller FOV than the first FOV,
and the non-standard CFA covers an overlap area on the first sensor
that captures the second FOV, thereby providing both optical zoom
and increased color resolution. In some such embodiments, the
processor is further configured to, during the processing of the
first and second images into a combined output image and based on a
ZF input, register respective first and second Luma images obtained
from the first and second images, the registered first and second
Luma images used together with color information to form the
combined output image. For a ZF input that defines an FOV greater
than the second FOV, the registration includes finding a
corresponding pixel in the second Luma image for each pixel in the
first Luma image and the processing includes forming the output
image by transferring information from the second image to the
first image. For a ZF input that defines an FOV smaller than or
equal to the second FOV, the registration includes finding a
corresponding pixel in the first Luma image for each pixel in the
second Luma image, and the processing includes forming the output
image by transferring information from the first image to the
second image.
In an embodiment there is provided a multi-aperture imaging system
comprising a first camera subset that provides a first image, the
first camera subset having a first sensor with a first plurality of
sensor pixels covered at least in part with a standard CFA; a
second camera subset that provides a second image, the second
camera subset having a second sensor with a second plurality of
sensor pixels either Clear or covered with a standard CFA; and a
processor configured to register first and second Luma images
obtained respectively from the first and second images and to
process the registered first and second Luma images together with
color information into a combined output image.
In some embodiments, the first and the second camera subsets have
identical first and second FOVs. In some such embodiments, the
registration includes finding a corresponding pixel in the second
Luma image for each pixel in the first Luma image and the
processing includes forming the output image by transferring
information from the second image to the first image. In other such
embodiments, the registration includes finding a corresponding
pixel in the first Luma image for each pixel in the second Luma
image and the processing includes forming the output image by
transferring information from the first image to the second
image.
In some embodiments, the first camera subset has a first FOV, the
second camera subset has a second, smaller FOV than the first FOV,
and the processor is further configured to register the first and
second Luma images based on a ZF input. For a ZF input that defines
an FOV greater than the second FOV, the registration includes
finding a corresponding pixel in the second Luma image for each
pixel in the first Luma image and the processing includes forming
the output image by transferring information from the second image
to the first image. For a ZF input that defines an FOV smaller than
or equal to the second FOV, the registration includes finding a
corresponding pixel in the first Luma image for each pixel in the
second Luma image, and the processing includes forming the output
image by transferring information from the first image to the
second image.
BRIEF DESCRIPTION OF THE DRAWINGS
Non-limiting examples of embodiments disclosed herein are described
below with reference to figures attached hereto that are listed
following this paragraph. The drawings and descriptions are meant
to illuminate and clarify embodiments disclosed herein, and should
not be considered limiting in any way.
FIG. 1A shows schematically a block diagram illustrating a
dual-aperture zoom imaging system disclosed herein;
FIG. 1B shows an example of an image captured by the Wide sensor
and the Tele sensor while illustrating the overlap area on the Wide
sensor;
FIG. 2 shows schematically an embodiment of a Wide sensor that may
be implemented in a dual-aperture zoom imaging system disclosed
herein;
FIG. 3 shows schematically another embodiment of a Wide camera
sensor that may be implemented in a dual-aperture zoom imaging
system disclosed herein;
FIG. 4 shows schematically yet another embodiment of a Wide camera
sensor that may be implemented in a dual-aperture zoom imaging
system disclosed herein;
FIG. 5 shows schematically yet another embodiment of a Wide camera
sensor that may be implemented in a dual-aperture zoom imaging
system disclosed herein;
FIG. 6 shows schematically yet another embodiment of a Wide camera
sensor that may be implemented in a dual-aperture zoom imaging
system disclosed herein;
FIG. 7 shows schematically yet another embodiment of a Wide camera
sensor that may be implemented in a dual-aperture zoom imaging
system disclosed herein;
FIG. 8 shows schematically yet another embodiment of a Wide camera
sensor that may be implemented in a dual-aperture zoom imaging
system disclosed herein;
FIG. 9 shows schematically yet another embodiment of a Wide camera
sensor that may be implemented in a dual-aperture zoom imaging
system disclosed herein;
FIG. 10 shows a schematically in a flow chart an embodiment of a
method disclosed herein for acquiring and outputting a zoom
image;
FIG. 11A shows exemplary images captured by a triple aperture zoom
imaging system disclosed herein;
FIG. 11B illustrates schematically the three sensors of the triple
aperture imaging system of FIG. 11A.
DETAILED DESCRIPTION
Embodiments disclosed herein relate to multi-aperture imaging
systems that include at least one Wide sensor with a single CFA or
with two different CFAs and at least one Tele sensor. The
description continues with particular reference to dual-aperture
imaging systems that include two (Wide and Tele) subsets with
respective sensors. A three-aperture imaging system is described
later with reference to FIGS. 11A-11B.
The Wide sensor includes an overlap area (see description of FIG.
1B) that captures the Tele FOV. The overlap area may cover the
entire Wide sensor or only part of the sensor. The overlap area may
include a standard CFA or a non-standard CFA. Since the Tele image
is optically magnified compared to the Wide image, the effective
sampling rate of the Tele image is higher than that of the Wide
image. Thus, the effective color sampling rate in the Wide sensor
is much lower than the Clear sampling rate in the Tele sensor. In
addition, the Tele and Wide images fusion procedure (see below)
requires up-scaling of the color data from the Wide sensor.
Up-scaling will not improve color resolution. In some applications,
it is therefore advantageous to use a non-standard CFA in the Wide
overlap area that increases color resolution for cases in which the
Tele sensor includes only Clear pixels. In some embodiments in
which the Tele sensor includes a Bayer CFA, the Wide sensor may
have a Bayer CFA in the overlap area. In such embodiments, color
resolution improvement depends on using color information from the
Tele sensor in the fused output image.
FIG. 1A shows schematically a block diagram illustrating a
dual-aperture zoom imaging ("DAZI") system 100 disclosed herein.
System 100 includes a dual-aperture camera 102 with a Wide subset
104 and a Tele subset 106 (each subset having a respective sensor),
and a processor 108 that fuses two images, a Wide image obtained
with the Wide subset and a Tele image obtained with the Tele
subset, into a single fused output image according to a
user-defined "applied" ZF input or request. The ZF is input to
processor 108. The Wide sensor may include a non-standard CFA in an
overlap area illustrated by 110 in FIG. 1B. Overlap area 110 is
surrounded by a non-overlap area 112 with a standard CFA (for
example a Bayer pattern). FIG. 1B also shows an example of an image
captured by both Wide and Tele sensors. Note that "overlap" and
"non-overlap" areas refer to parts of the Wide image as well as to
the CFA arrangements of the Wide sensor. The overlap area may cover
different portions of a Wide sensor, for example half the sensor
area, a third of the sensor area, a quarter of the sensor area,
etc. A number of such Wide sensor CFA arrangements are described in
more detail with reference to FIGS. 2-9. The non-standard CFA
pattern increases the color resolution of the DAZI system.
The Tele sensor may be Clear (providing a Tele Clear image scaled
relative to the Wide image) or may include a standard (Bayer or
non-Bayer) CFA. It in the latter case, it is desirable to define
primary and auxiliary sensors based on the applied ZF. If the ZF is
such that the output FOV is larger than the Tele FOV, the primary
sensor is the Wide sensor and the auxiliary sensor is the Tele
sensor. If the ZF is such that the output FOV is equal to, or
smaller than the Tele FOV, the primary sensor is the Tele sensor
and the auxiliary sensor is the Wide sensor. The point of view
defined by the output image is that of the primary sensor.
FIG. 2 shows schematically an embodiment of a Wide sensor 200 that
may be implemented in a DAZI system such as system 100. Sensor 200
has a non-overlap area 202 with a Bayer CFA and an overlap area 204
covered by a non-standard CFA with a repetition of a 4.times.4
micro-cell in which the color filter order is BBRR-RBBR-RRBB-BRRB.
In this figure, as well as in FIGS. 3-9, "Width 1" and "Height 1"
refer to the full Wide sensor dimension. "Width 2" and "Height 2"
refer to the dimensions of the Wide sensor overlap area. Note that
in FIG. 2 (as in following FIGS. 3-5 and 7, 8) the empty row and
column to the left and top of the overlap area are for clarity
purposes only, and that the sensor pixels follow there the pattern
of the non-overlap area (as shown in FIG. 6). In overlap area 204,
R and B are sampled at 1/2.sup.0.5 Nyquist frequency in the
diagonal (left to right) direction with 2 pixel intervals instead
of at 1/2 Nyquist frequency in a standard Bayer pattern.
FIG. 3 shows schematically an embodiment of a Wide sensor 300 that
may be implemented in a DAZI system such as system 100. Sensor 300
has a non-overlap area 302 with a Bayer CFA and an overlap area 304
covered by a non-standard CFA with a repetition of a 2.times.2
micro-cell in which the color filter order is BR-RB. In the overlap
area, R and B are sampled at 1/2.sup.0.5 Nyquist frequency in both
diagonal directions.
FIG. 4 shows schematically an embodiment of a Wide sensor 400 that
may be implemented in a DAZI system such as system 100. Sensor 400
has a non-overlap area 402 with a Bayer CFA and an overlap area 404
covered by a non-standard CFA with a repetition of a 2.times.2
micro-cell in which the color filter order is YC-CY, where
Y=Yellow=Green+Red, C=Cyan=Green+Blue. As a result, in the overlap
area, R and B are sampled at 1/2.sup.0.5 Nyquist frequency in a
diagonal direction. The non-standard CFA includes green information
for registration purposes. This allows for example registration
between the two images where the object is green, since there is
green information in both sensor images.
FIG. 5 shows schematically an embodiment of a Wide sensor 500 that
may be implemented in a DAZI system such as system 100. Sensor 500
has a non-overlap area 502 with a Bayer CFA and an overlap area 504
covered by a non-standard CFA with a repetition of a 6.times.6
micro-cell in which the color filter order is
RBBRRB-RWRBWB-BBRBRR-RRBRBB-BWBRWR-BRRBBR, where "W" represents
White or Clear pixels. In the overlap area, R and B are sampled at
a higher frequency than in a standard CFA. For example, in a Bayer
pixel order, the Red average sampling rate ("R.sub.s") is 0.25
(sampled once for every 4 pixels). In the overlap area pattern,
R.sub.s is 0.44.
FIG. 6 shows schematically an embodiment of a Wide sensor 600 that
may be implemented in a DAZI system such as system 100. Sensor 600
has a non-overlap area 602 with a Bayer CFA and an overlap area 604
covered by a non-standard CFA with a repetition of a 6.times.6
micro-cell in which the color filter order is
BBGRRG-RGRBGB-GBRGRB-RRGBBG-BGBRGR-GRBGBR. In the overlap area, R
and B are sampled at a higher frequency than in a standard CFA. For
example, in the overlap area pattern, R.sub.s is 0.33 vs. 0.25 in a
Bayer pixel order.
FIG. 7 shows schematically an embodiment of a Wide sensor 700 that
may be implemented in a DAZI system such as system 100. Sensor 700
has a non-overlap area 702 with a Bayer CFA and an overlap area 704
covered by a non-standard CFA with a repetition of a 3.times.3
micro-cell in which the color filter order is GBR-RGB-BRG. In the
overlap area, R and B are sampled at a higher frequency than in a
standard CFA. For example, in the overlap area pattern, R.sub.s is
0.33 vs. 0.25 in a Bayer pixel order.
FIG. 8 shows schematically an embodiment of a Wide sensor 800 that
may be implemented in a DAZI system such as system 100. Sensor 800
has a non-overlap area 802 with a Bayer CFA and an overlap area 804
covered by a non-standard CFA with a repetition of a 6.times.6
micro-cell in which the color filter order is
RBBRRB-RGRBGB-BBRBRR-RRBRBB-BGBRGR-BRRBBR. In the overlap area, R
and B are sampled at a higher frequency than in a standard CFA. For
example, in the overlap area pattern, R.sub.s is 0.44 vs. 0.25 in a
Bayer pixel order.
FIG. 9 shows schematically an embodiment of a Wide sensor 900 that
may be implemented in a DAZI system such as system 100. Sensor 900
has a non-overlap area 902 with a Bayer CFA and an overlap area 904
covered by a non-standard CFA with a repetition of a 6.times.6
micro-cell in which the color filter order is
RBRBRB-BGBRGR-RBRBRB-BRBRBR-RGRBGB-BRBRBR. In the overlap area, R
and B are sampled at a higher frequency than in a standard CFA. For
example, in the overlap area pattern, R.sub.s is 0.44 vs. 0.25 in a
Bayer pixel order.
Processing Flow
In use, an image is acquired with imaging system 100 and is
processed according to steps illustrated in a flowchart shown in
FIG. 10. In step 1000, demosaicing is performed on the Wide overlap
area pixels (which refer to the Tele image FOV) according to the
specific CFA pattern. If the CFA in the Wide overlap area is a
standard CFA, a standard demosaicing process may be applied to it.
If the CFA in the Wide overlap area is non-standard CFA, the
overlap and non-overlap subsets of pixels may need different
demosaicing processes. That is, the Wide overlap area may need a
non-standard demosaicing process and the Wide non-overlap area may
need a standard demosaicing process. Exemplary and non-limiting
non-standard demosaicing interpolations for the overlap area of
each of the Wide sensors shown in FIGS. 2-9 are given in detail
below. The aim of the demosaicing is to reconstruct missing colors
in each pixel. Demosaicing is applied also to the Tele sensor
pixels if the Tele sensor is not a Clear only sensor. This will
result in a Wide subset color image where the colors (in the
overlap area) hold higher resolution than those of a standard CFA
pattern. In step 1002, the Tele image is registered (mapped) into
the Wide image. The mapping includes finding correspondences
between pixels in the two images. In step 1002, actual registration
is performed on luminance Tele and Wide images (respectively
Luma.sub.Tele and Luma.sub.wide) calculated from the pixel
information of the Tele and Wide cameras. These luminance images
are estimates for the scene luminance as captured by each camera
and do not include any color information. If the Wide or Tele
sensors have CFAs, the calculation of the luminance images is
performed on the respective demosaiced images. The calculation of
the Wide luminance image varies according to the type of
non-standard CFA used in the Wide overlap area. If the CFA permits
calculation of a full RGB demosaiced image, the luminance image
calculation is straightforward. If the CFA is such that it does not
permit calculation of a full RGB demosaiced image, the luminance
image is estimated from the available color channels. If the Tele
sensor is a Clear sensor, the Tele luminance image is just the
pixel information. Performing the registration on luminance images
has the advantage of enabling registration between images captured
by sensors with different CFAs or between images captured by a
standard CFA or non-standard CFA sensor and a standard CFA or Clear
sensor and avoiding color artifacts that may arise from erroneous
registration.
In step 1004, the data from the Wide and Tele images is processed
together with the registration information from step 1002 to form a
high quality output zoom image. In cases where the Tele sensor is a
Clear only sensor, the high resolution luminance component is taken
from the Tele sensor and color resolution is taken from the Wide
sensor. In cases where the Tele sensor includes a CFA, both color
and luminance data are taken from the Tele subset to form the high
quality zoom image. In addition, color and luminance data is taken
from the Wide subset.
Exemplary Process for Fusing a Zoom Image
1. Special Demosaicing
In this step, the Wide image is interpolated to reconstruct the
missing pixel values. Standard demosaicing is applied in the
non-overlap area. If the overlap area includes a standard CFA,
standard demosaicing is applied there as well. If the overlap area
includes a non-standard CFA, a special demosaicing algorithm is
applied, depending on the CFA pattern used. In addition, in case
the Tele sensor has a CFA, standard demosaicing is applied to
reconstruct the missing pixel values in each pixel location and to
generate a full RGB color image.
2. Registration Preparation
Tele image: a luminance image Luma.sub.Tele is calculated from the
Tele sensor pixels. If the Tele subset has a Clear sensor,
.sub.LumaTele is simply the sensor pixels data. If the Tele subset
has a standard CFA, .sub.LumaTele is calculated from the demosaiced
Tele image. Wide image: as a first step, in case the Wide overlap
CFA permits estimating the luminance component of the image, the
luminance component is calculated from the demosaiced Wide image,
Luma.sub.Wide. If the CFA is one of those depicted in FIGS. 4-9, a
luminance image is calculated first. If the CFA is one of the CFAs
depicted in FIG. 2 or FIG. 3, a luminance image is not calculated.
Instead, the following registration step is performed between a
weighted average of the demosaiced channels of the Wide image and
Luma.sub.Tele. For convenience, this weighted average image is also
denoted Luma.sub.Wide. For example, if the Wide sensor CFA in the
overlap region is as shown in FIG. 2, the demosaiced channels
R.sub.Wide and B.sub.Wide are averaged to create Luma.sub.Wide
according to Luma.sub.Wide=(f1*R.sub.Wide+f2*B.sub.Wide)/(f1+f2),
where f1 may be f1=1 and f2 may be f2=1. Low-pass filtering is
applied on the Tele luminance image in order to match its spatial
frequency content to that of the Luma.sub.Wide image. This improves
the registration performance, as after low-pass filtering the
luminance images become more similar. The calculation is
Luma.sub.Tele.fwdarw.Low pass filter.fwdarw.Luma.sub.Tele.sup.LP,
where "LP" denotes an image after low pass filtering. 3.
Registration of Luma.sub.Wide and Luma.sub.Tele.sup.LP
This step of the algorithm calculates the mapping between the
overlap areas in the two luminance images. The registration step
does not depend on the type of CFA used (or the lack thereof), as
it is applied on luminance images. The same registration step can
therefore be applied on Wide and Tele images captured by standard
CFA sensors, as well as by any combination of CFAs or Clear sensor
pixels disclosed herein. The registration process chooses either
the Wide image or the Tele image to be a primary image. The other
image is defined as an auxiliary image. The registration process
considers the primary image as the baseline image and registers the
overlap area in the auxiliary image to it, by finding for each
pixel in the overlap area of the primary image its corresponding
pixel in the auxiliary image. The output image point of view is
determined according to the primary image point of view (camera
angle). Various correspondence metrics could be used for this
purpose, among which are a sum of absolute differences and
correlation.
In an embodiment, the choice of the Wide image or the Tele image as
the primary and auxiliary images is based on the ZF chosen for the
output image. If the chosen ZF is larger than the ratio between the
focal-lengths of the Tele and Wide cameras, the Tele image is set
to be the primary image and the Wide image is set to be the
auxiliary image. If the chosen ZF is smaller than or equal to the
ratio between the focal-lengths of the Tele and Wide cameras, the
Wide image is set to be the primary image and the Tele image is set
to be the auxiliary image. In another embodiment independent of a
zoom factor, the Wide image is always the primary image and the
Tele image is always the auxiliary image. The output of the
registration stage is a map relating Wide image pixels indices to
matching Tele image pixels indices.
4. Combination into a High Resolution Image
In this final step, the primary and auxiliary images are used to
produce a high resolution image. One can distinguish between
several cases:
a. If the Wide image is the primary image, and the Tele image was
generated from a Clear sensor, Luma.sub.Wide is calculated and
replaced or averaged with Luma.sub.Tele in the overlap area between
the two images to create a luminance output image, matching
corresponding pixels according to the registration map
Luma.sub.Out=c1*Luma.sub.Wide+c2*Luma.sub.Tele. The values of c1
and c2 may change between different pixels in the image. Then, RGB
values of the output are calculated from Luma.sub.Out and
R.sub.Wide, G.sub.Wide, and B.sub.Wide.
b. If the Wide image is the primary image and the Tele image was
generated from a CFA sensor, Luma.sub.Tele is calculated and is
combined with Luma.sub.Wide in the overlap area between the two
images, according to the flow described in 4a.
c. If the Tele image is the primary image generated from a Clear
sensor, the RGB values of the output are calculated from the
Luma.sub.Tele image and R.sub.Wide, G.sub.Wide, and B.sub.Wide
(matching pixels according to the registration map).
d. If the Tele image is the primary image generated from a CFA
sensor, the RGB values of the output (matching pixels according to
the registration map) are calculated either by using only the Tele
image data, or by also combining data from the Wide image. The
choice depends on the zoom factor.
Certain portions of the registered Wide and Tele images are used to
generate the output image based on the ZF of the output image. In
an embodiment, if the ZF of the output image defines a FOV smaller
than the Tele FOV, the fused high resolution image is cropped to
the required field of view and digital interpolation is applied to
scale up the image to the required output image resolution.
Exemplary and Non-Limiting Pixel Interpolations Specifications for
the Overlap Area
FIG. 2
TABLE-US-00001 B11 B12 R13 R21 B22 B23 R31 R32 B33
In order to reconstruct the missing R22 pixel, we perform
R22=(R31+R13)/2. The same operation is performed for all missing
Blue pixels. FIG. 3
TABLE-US-00002 R11 B12 R13 B21 R22 B23 R31 B32 R33
In order to reconstruct the missing B22 pixel, we perform
B22=(B12+B21+B32+B23)/4. The same operation is performed for all
missing Red pixels. FIG. 4
TABLE-US-00003 Y11 C12 Y13 C21 Y22 C23 Y31 C32 Y33
In order to reconstruct the missing C22 pixel, we perform
C22=(C12+C21+C32+C23)/4. The same operation is performed for all
missing Yellow pixels. FIG. 5 Case 1: W is Center Pixel
TABLE-US-00004 R11 B12 B13 R21 W22 R23 B31 B32 R33
In order to reconstruct the missing 22 pixels, we perform the
following:
B22=(B12+B32)/2
R22=(R21+R23)/2
G22=(W22-R22-B22) (assuming that W includes the same amount of R, G
and B colors).
Case 2: R22 is Center Pixel
TABLE-US-00005 B11 B12 R13 R14 W21 R22 B23 W24 B31 R32 B33 R34
B22=(B11+R33)/2
In order to reconstruct the missing 22 pixels, we perform the
following:
W22=(2*W21+W24)/3
G22=(W22-R22-B22) (assuming that W contains the same amount of R, G
and B colors). The same operation is performed for Blue as the
center pixel.
FIG. 6
TABLE-US-00006 B11 B12 G13 R14 R21 G22 R23 B24 G31 B32 R33 G34 R41
R42 G43 B44
In order to reconstruct the missing 22 pixels, we perform the
following:
B22=(B12+B32)/2
R22=(R21+R23)/2.
In order to reconstruct the missing 32 pixels, we perform the
following:
G32=(2*G31+2*G22+G43)/5
R32=(R41+2*R42+2*R33+R23+R21)/7.
FIG. 7
TABLE-US-00007 G11 B12 R13 G14 R21 G22 B23 R24 B31 R32 G33 B34 G41
B42 R43 G44
In order to reconstruct the missing 22 pixels, we perform the
following:
B22=(2*B12+2*B23+B31)/5
R22=(2*R21+2*R32+R13)/5
and similarly for all other missing pixels.
FIG. 8
TABLE-US-00008 R11 B12 B13 R14 R21 G22 R23 B24 B31 B32 R33 B34 R41
R42 B43 R44 B51 G52 B53 R54
In order to reconstruct the missing 22 pixels, we perform the
following:
B22=(2*B12+2*B32+B13)/5
R22=(2*R21+2*R23+R11)/5.
In order to reconstruct the missing 32 pixels, we perform the
following:
G32=(2*G22+G52)/3
R32=(2*R33+2*R42+R41+R21+R23)/7.
FIG. 9
TABLE-US-00009 R11 B12 R13 B14 B21 G22 B23 R24 R31 B32 R33 B34 B41
R42 B43 R44 R51 G52 R53 B54
In order to reconstruct the missing 22 pixels, we perform the
following:
B22=(B12+B32+B23+B21)/4
R22=(R11+R13+R31+R33)/4.
In order to reconstruct the missing 32 pixels, we perform the
following:
G32=(2*G22+G52)/3
R32=(R42+R31+R33)/3.
Triple-Aperture Zoom Imaging System with Improved Color
Resolution
As mentioned, a multi-aperture zoom or non-zoom imaging system
disclosed herein may include more than two apertures. A
non-limiting and exemplary embodiment 1100 of a triple-aperture
imaging system is shown in FIGS. 11A-11B. System 1100 includes a
first Wide subset camera 1102 (with exemplarily X1), a second Wide
subset camera (with exemplarily X1.5, and referred to as a
"Wide-Tele" subset) and a Tele subset camera (with exemplarily X2).
FIG. 11A shows exemplary images captured by imaging system 1100,
while FIG. 11B illustrates schematically three sensors marked 1102,
1104 and 1106, which belong respectively to the Wide, Wide-Tele and
Tele subsets. FIG. 11B also shows the CFA arrangements in each
sensor: sensors 1102 and 1104 are similar to Wide sensors described
above with reference to any of FIGS. 2-9, in the sense that they
include an overlap area and a non-overlap area. The overlap area
includes a non-standard CFA. In both Wide sensors, the non-overlap
area may have a Clear pattern or a standard CFA. Thus, neither Wide
subset is solely a Clear channel camera. The Tele sensor may be
Clear or have a standard Bayer CFA or a standard non-Bayer CFA. In
use, an image is acquired with imaging system 1100 and processed as
follows: demosaicing is performed on the overlap area pixels of the
Wide and Wide-Tele sensors according to the specific CFA pattern in
each overlap area. The overlap and non-overlap subsets of pixels in
each of these sensors may need different demos aicing. Exemplary
and non-limiting demosaicing specifications for the overlap area
for Wide sensors shown in FIGS. 2-9 are given above. The aim is to
reconstruct the missing colors in each and every pixel. In cases in
which the Tele subset sensor is not Clear only, demosaicing is
performed as well. The Wide and Wide-Tele subset color images
acquired this way will have colors (in the overlap area) holding
higher resolution than that of a standard CFA pattern. Then, the
Tele image acquired with the Tele sensor is registered (mapped)
into the respective Wide image. The data from the Wide, Wide-Tele
and Tele images is then processed to form a high quality zoom
image. In cases where the Tele subset is Clear only, high Luma
resolution is taken from the Tele sensor and color resolution is
taken from the Wide sensor. In cases where the Tele subset includes
a CFA, both color and Luma resolution is taken from the Tele
subset. In addition, color resolution is taken from the Wide
sensor. The resolution of the fused image may be higher than the
resolution of both sensors.
While this disclosure has been described in terms of certain
embodiments and generally associated methods, alterations and
permutations of the embodiments and methods will be apparent to
those skilled in the art. For example, multi-aperture imaging
systems with more than two Wide or Wide-Tele subsets (and sensors)
or with more than one Tele subset (and sensor) may be constructed
and used according to principles set forth herein. Similarly,
non-zoom multi-aperture imaging systems with more than two sensors,
at least one of which has a non-standard CFA, may be constructed
and used according to principles set forth herein. The disclosure
is to be understood as not limited by the specific embodiments
described herein, but only by the scope of the appended claims.
* * * * *