CN102289360A - Self-adaptive projection color compensation method - Google Patents
Self-adaptive projection color compensation method Download PDFInfo
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- CN102289360A CN102289360A CN2011102464539A CN201110246453A CN102289360A CN 102289360 A CN102289360 A CN 102289360A CN 2011102464539 A CN2011102464539 A CN 2011102464539A CN 201110246453 A CN201110246453 A CN 201110246453A CN 102289360 A CN102289360 A CN 102289360A
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Abstract
The invention discloses a self-adaptive projection color compensation method. The method comprises the steps of: analyzing the collected colors to define a reference image; finally, stretching the color range of an original projection image for preprocessing, and carrying out overall luminance compensation to an original color compensation image; verifying and optimizing a pixel color compensation value; carrying out color correction to the projection image by using an optimized Lambert reflection model color compensation method; and finally, eliminating interference of inherent textures on the projection surface and the ambient light on the projection image. When the self-adaptive color compensation method disclosed by the invention is used for projection in daily life, the reliance of the traditional projection equipment on a specialized projection screen can be eliminated, an observer can not feel color deviation in vision caused by inherent textures on the projection surface and the ambient light on the projection image, a projection image meeting expectations can be obtained, and thus realizing an effect as projection on a white flat screen.
Description
Technical field
The present invention relates to a kind of in the fields such as giant-screen monitoring displayings of scientific research and education field (scientific visualization), all kinds of emulation field (virtual reality), amusement and meeting (general calculation entironment has the fidelity projection under the complicated indoor backgrounds such as wall turning of texture) and meteorological traffic the projection color compensating method of self-adaptation complexity projection environment.
Background technology
In surroundings projector is carried out adaptively correcting and need solve the influence of unconventional projection environment to projected image, an important difficult problem that wherein needs to solve is exactly misalignment that factor caused and luminance brightness losses such as the intrinsic texture on Projection Display surface and surround lighting.
Color correction for projected image, Nayar etc. carry out Parametric Analysis to the mankind to the visual imaging process of projected image color, image is assumed to be the hyperchannel hybrid matrix of color through projector projects then to display surface together with the multiple conversions process as stray light reflected back human eyes such as projective textures, uses camera to gather several color calibration images then and realize finding the solution the blend of colors matrix.This method is owing to calculate one by one pixel, and its color correction precision is higher, the calculated amount that corresponding needs are huge, and need the projection multiple image just can finish the foundation of blend of colors matrix.The color correction that people such as Ashdown have proposed a kind of complexity calculates framework, this method uses high dynamic range (HDR) camera through color calibration that projection surface is carried out the high-definition picture collection, then image data is converted to based on the CIELUV color space of human visual perception and to value of chromatism and carries out match, use relaxation method color calculation to go out the color correction image at last based on the differential equation.This method is can be at the projection surface texture complicated and exist under the situation of multiple environmental interference light and realize accurate color correction, carries out color correction but be subject to the static projection picture that the singularity of the mode of finding the solution only is used in the plane projection environment.
Summary of the invention
The objective of the invention is at the deficiencies in the prior art, a kind of self-adaptation projection color compensating method is provided.This method is according to based on the color compensating method of optimizing the Lang Baite reflection model projected image being carried out color correction, can effectively eliminate the misalignment that complicated projection environment causes projected image, observer's perception visually finally is met the projected image of expectation in advance less than the influence to projected image of the intrinsic texture of projection surface and surround lighting.Use adaptive color compensation method disclosed by the invention and can break away from of the dependence of traditional projector equipment, realize as the effect of showing at the dull and stereotyped curtain of white at the daily life environment to professional projection screen.
The objective of the invention is to be achieved through the following technical solutions: a kind of self-adaptation projection color compensating method may further comprise the steps:
(1) visible sensation method that uses a computer is finished system calibrating in conjunction with the camera that is installed on the projector.
(2) visible sensation method that uses a computer is analyzed and is calculated the view data of camera collection, determines pixel corresponding relation between projector and the camera, sets up the corresponding pixel points coordinate Mapping.
(3) use a computer visible sensation method and in conjunction with the view data of camera collection is that projection surface sets up the Lang Baite reflection model of optimizing.
(4) use a computer visible sensation method and in conjunction with the view data of camera collection carries out pre-service with pre-projected image, according to the stretch color gamut of pre-projected image of the effective image display space that calculates.
(5) use a computer visible sensation method and in conjunction with the view data of camera collection carries out overall luminance compensation to the priming color compensating images, and the pixel color offset is carried out verification optimization.
(6) use is based on the binary channels rendering intent of video card, to drawing through the projection color compensating image that calculates.
The invention has the beneficial effects as follows:
1. can effectively eliminate the intrinsic texture of projection surface and the influence that ambient lighting is proofreaied and correct colors of projector, projection surface can be the reflective material surface with random color background, does not need professional projection screen.
2. can adjust projected image by intelligent perception projection environment, make optical projection system not be subjected to the restriction of small space, realize putting arbitrarily projector and carried out projection whenever and wherever possible.
3. have the independent real-time online corrective system, projection correction's process need not artificial participation, has greatly simplified the installation adjustment process of projector.
4. carry out system's control based on software, greatly reduce hardware cost.
5. adopt computer vision methods that image data is handled and analyzed, greatly reduce optical projection system operating cost.
Description of drawings
Fig. 1 is based on the color compensating method embodiment diagrammatic sketch of optimizing the Lang Baite reflection model.
Fig. 2 is applied in the experimental example figure of on-plane surface projection environment for the color compensating method.
Embodiment
1. system installs: at first, a camera is installed on the projector, and guarantees the camera lens coaxial direction of cam lens and projector; Then the camera output port is connected to computing machine, and the corresponding driving program is installed, a delivery outlet with computer display card is connected to projector simultaneously.
2. self-adaptation projection color compensating method of the present invention specifically may further comprise the steps:
(1) visible sensation method that uses a computer is finished system calibrating in conjunction with the camera that is installed on the projector.
What camera calibration adopted is the camera plane standardization that Zhang Zhengyou proposes, and uses the camera inner parameter that calculates that the radial distortion and the tangential distortion of camera are proofreaied and correct.Calibrated camera obtains the Projection Display image in real time and feeds back the projection nucleus environment information.
(2) visible sensation method that uses a computer is analyzed and is calculated the view data of camera collection, determines pixel corresponding relation between projector and the camera, sets up the corresponding pixel points coordinate Mapping.
(3) use a computer visible sensation method and in conjunction with the view data of camera collection is that projection surface sets up the Lang Baite reflection model of optimizing.
In daily projection environment such as office, family, for projection surface be curtain with regular decorative pattern, during the situations such as wall that are covered with wallpaper (Fig. 1 (a)), the material of projection surface, intrinsic texture and surround lighting all can cause the deviation (Fig. 1 (e)) of projected image generation color and light intensity.Because observer's vision forms the diffuse reflection optics imaging that comes from projection surface, the present invention adopts a kind of optimization method to Lang Baite reflection model (Lambertian Reflection Model), and projection surface is carried out Parametric Analysis so that calculate the color compensating and the light intensity correction of projected image.
The Lang Baite reflection model of standard is a kind of idealized estimation to non-smooth surface, incident light radiation in different angles can be reflected fully to light source on its hypothesis surface, and all the same to light radiation intensity at any angle, the reflected light radiancy depends on the factor into three aspects: the incident light radiancy
, the incident light vector of unit length
, the reflecting surface normal vector
, establish
Be the incident light vector of unit length
With the reflecting surface normal vector
Angle, the reflected light radiancy calculated of the Lang Baite reflection model of standard then
Can be expressed as:
The present invention is optimized standard Lang Baite reflection model, and master pattern is increased the intrinsic texture of reflecting surface
With reflecting surface surround lighting of living in
Two parameters, wherein, intrinsic texture
And surround lighting
Mixing can calculate the reflected light radiancy
:
The reflected light radiancy that will calculate by (1) formula
Increase the intrinsic texture of reflecting surface
After, can obtain new reflected light radiancy
:
The reflected light radiancy that aggregative formula (1), (2), (3) can obtain using the Lang Baite reflection model of optimization to calculate
:
At last, logical (4) formula is out of shape can obtain formula (5), promptly obtains the incident light radiancy
Computing formula:
In the projection environment, projector is as incident light source, the incident light radiancy
Corresponding projected is to the optical radiation degree of projection surface, the reflected light radiancy of projection surface
Can measure three passages of red, green, blue respectively by high definition camera collection RGB image.The observer expects that the RGB image of camera collection is consistent with the original projection image, then can be by changing the incident light radiancy
The RGB color data that promptly changes the original projection image realizes.Concrete as formula (6) with the original projection image
(three passages calculate respectively) substitution
, calculate
Be exactly the color compensating image of original projection image correspondence:
Use intelligent optical projection system to carry out data acquisition solution formula (5), at first, close projector under the conventional illumination condition in indoor projection environment, i.e. the incident light radiancy
=0, will
Value substitution formula (4) can be (7) with simplified formula; Then, directly use high definition camera collection projection surface image, measure this moment
Be exactly
Value.Second step, close supplementary illumination, supposing does not have other illumination condition except that projector light source, can think that then projection surface's reflected light radiancy is not subjected to ambient light effects, at this moment
=0; Use projector to throw white image simultaneously to projection surface
, at this moment
=
=
=1, promptly
=1; Will
With
Substitution formula (4) can be (8) with the formula abbreviation, measures by camera
Be exactly
Value.
For fixing projection environment, surround lighting
Intrinsic texture with projection surface
And incident angle
All be changelessly can be used as constant, then formula (6) just can be expressed as
About
Color compensating function (as formula (9)), will
With
Be updated in the formula (6), the key issue of then calculating the color compensating image is converted into the constant of solved function
With
Value.
(4) use a computer visible sensation method and in conjunction with the view data of camera collection carries out pre-service with the original projection image, according to the color gamut of the effective image display space stretching original projection image that calculates.
Use (3) formula (9) that saves described color compensating method can calculate the color compensating image of original projection image correspondence
, according to RGB image property image as can be known
The brightness value of each passage is limited in the interval
In.Simultaneously, suppose
RGB data maximal value be
,
Minimum value be
, then according to formula (10) original image of can deriving
In brightness value greater than
Perhaps less than
The point color compensating value of using formula (9) to calculate be invalid, if wish the color compensating image so
In the color compensating value of being had a few be effectively, original image
Must carry out the brightness stretching conversion to satisfy formula (11):
。（11）
In order to improve the robustness of method, increase by the brightness stretching factor
With
And the average brightness value of original projection image
, wherein
With
Calculate by formula (12):
。（12）
The brightness value of image (Image Luminance Value) is meant the image C IE-XYZ color space tristimulus values that color normalization organizes CIE to define
In
Value, can calculate by formula (13).To the original projection image
In each point use formula (13) calculating pixel point brightness value, can be in the hope of the mean flow rate factor of original projection image
At last, the brightness stretching factor of asking in conjunction with formula (12)
With
And the mean flow rate factor of original projection image
, use formula (14) to calculate the original projection image
Brightness stretching image
, will
As the original projection image
Substitution formula (9) can calculate the color compensating image that each pixel all is effective color compensating value (Fig. 1 (c)).
； （13）
(5) use a computer visible sensation method and in conjunction with the view data of camera collection carries out overall luminance compensation to the priming color compensating images, and the pixel color offset is carried out verification optimization.
Can eliminate the situation that there is invalid color compensating value in pixel in the color compensating image according to the described projected image preprocess method of (4) joint, simultaneously, analyzing formula (14), as can be known the original projection image to be carried out the cost that brightness stretches be to have lost part brightness viewing area.In order to reduce observer that the projected image pre-service causes vision difference, can adopt the method for overall luminance compensation to realize by the brightness of image value that formula (13) calculate to brightness.
The first step is right
As the original projection image
The color compensating image that substitution formula (9) calculates
Analyze.If
Be image
Last coordinate is
The RGB data of pixel, establish set simultaneously
With
Be two brightness reference value of this point, and set is set
With
The element initial value be 0.As fruit dot
The RGB data exceed brightness range and promptly exist
(wherein
) situation, then:
If
Corresponding
Value be 0, then represent a little
The RGB data do not exceed brightness range promptly
, then have
。（16）
Can calculate image by formula (15) and (16)
The brightness reference value set of all pixel correspondences
With
, use
With
Save the original projection mean picture brightness factor that calculates to (4)
Adjust the mean flow rate factor after being optimized
, set a threshold value for brightness reference value simultaneously
As qualifications, can obtain
Will be through the mean flow rate factor of luminance deviation verification
Replace
Be updated to formula (14), can obtain the brightness stretching conversion image after the optimization of original projection image correspondence
, be updated to once more and obtain formula (18) in the formula (9).Image after the optimization that calculates
(Fig. 1 (d)) as final color compensating image by projector projects in projection surface, the observer from perception visually less than the interference (Fig. 1 (f)) of the intrinsic texture of projection surface and ambient lighting to projected image.
(6) use is based on the binary channels rendering intent of video card, to drawing through the projection color compensating image that calculates.
Use previously described color compensating method to calculate to projected image, and adopt and pre-projected image is drawn based on the binary channels rendering intent of computer picture video card.At first, use image drawing program Chromium to obtain the data that first passage of video card is drawn original image, and the pixel coordinate mapping of original image and camera collection image is stored.Then, in conjunction with camera collection uncalibrated image and pixel coordinate mapping, use color compensating value based on the color compensating method calculating pixel point of the Lang Baite reflection model of optimizing.At last, use fragment shader (fragment shader) with the color compensating value of pixel in the original projection image be mapped to finish on the respective pixel point coordinate painted.Export to projector and be projeced into projection surface by second channel image of video card drawing good correcting image, can see finally and satisfy the projected image of expectation in advance that observer's perception visually is less than the influence to projected image of the intrinsic texture of projection surface and surround lighting.
Among the present invention, the camera plane standardization that said system calibrating is to use Zhang Zhengyou to propose is calibrated camera, eliminates the radial distortion and the tangential distortion of camera.
Among the present invention, said color compensating is that computing machine is by analyzing the color calibration reference picture of camera collection, at first projected image is carried out pre-service and overall luminance compensation, use the color compensating method of the Lang Baite reflection model of optimizing that projected image is carried out color correction then, finally eliminate the interference of intrinsic texture of projection surface and ambient lighting projected image.
Among the present invention, said binary channels method for drafting is pre-projected image to be drawn at first passage of video card obtain a two field picture, use the color compensating method that view data is calculated then, and with second passage of result of calculation input, at second passage of video card new image of a frame of completing, the output port of this two field picture by second passage inputs to projector and carries out projection.
Among the present invention, said projector can adopt the DLP projector.
Among the present invention, said camera can adopt the general network camera.
Among the present invention, said computing machine can be the computer system with independent drawing video card.
The present invention will be further described by the following examples.
Embodiment
In the present embodiment, designed and Implemented the intelligent optical projection system that a cover can self-adaptation projection color compensating and experimentized.Prototype system uses Lenovo T151 DLP projector as projection equipment, and Logitech C905 camera is installed is finished Image Acquisition and environmental monitoring, connects a commercial notebook at last as bearing calibration of computing unit operation image and devices communicating.Bearing calibration adopts Matlab and two kinds of programming language hybrid programmings of C++ to realize, uses graphic package storehouse OpenGL auxiliary pattern to draw simultaneously.
Shown in Fig. 1 (a), select an indoor metope as projection surface, and unordered being attached to of colored paster createed the projection environment with pattern texture on the wall.Directly use projector to projection surface's projection shown in Fig. 1 (b) during image, colored paster on the wall produces the obvious color deviation to the visually-perceptible of projected image, and the observer is easy to see that there are a plurality of interference color lumps (as Fig. 1 (e)) in view field.In preliminary work, system need at first finish the calculating of pixel coordinate correspondence mappings between camera calibration and projector and the camera.The total system set-up procedure need spend 2-3 minute, adopts fixed data to experimentize when optical projection system keeps static.
In system self-adaption color correction process, image data is carried out correlation computations and adopts based on the binary channels rendering intent of computer picture video card pre-projected image being drawn.At first, use image drawing program Chromium to obtain the data that first passage of video card is drawn original image, and the pixel coordinate mapping of original image and camera collection image is stored.Then, in conjunction with camera collection uncalibrated image and pixel coordinate mapping, use color compensating value based on the color compensating method calculating pixel point of optimizing the Lang Baite reflection model.At last, use fragment shader (fragment shader) that the color compensating value of pixel in the original projection image is mapped to and finish painted (as Fig. 1 (d)) on the respective pixel point coordinate, and will draw the correcting image of getting well and export to projector by second channel image of video card and be projeced into projection surface (as Fig. 1 (f)).
Shown in Fig. 1 (f), through behind the color correction, the colour that exists among Fig. 1 (e) disturbs color lump complete obiteration in Fig. 1 (f), and observer's perception visually is less than the influence to projected image of the intrinsic texture of projection surface and surround lighting.
The self-adaptation projection color compensating method that this patent is proposed experimentizes at on-plane surface projection environment (Fig. 2 (a)).The visual effect of projected image can obviously be seen the influence of color texture to projected image shown in Fig. 2 (b).Use the color compensating method based on the Lang Baite reflection model of optimizing of this patent proposition the projected image through geometry correction is carried out color correction, in projection surface, the observer can be met the projected image (as figure (d)) of vision expectation with color compensating image projection shown in Fig. 2 (c).
Experimental result shows, the self-adaptation projection color compensating method of using this patent to propose is carried out projection in having the projection environment of complex background, can effectively eliminate the influence of the intrinsic texture of projection surface and ambient lighting condition, realize as the effect of showing at the dull and stereotyped curtain of white to projected image.
Claims (7)
1. self-adaptation projection color compensating method, self-adaptation projection colour compensating system comprises: camera, projector and computing machine etc., camera is installed on the projector, the camera lens coaxial direction of cam lens and projector, the output port of camera is connected to computing machine, and a delivery outlet of the video card of computing machine is connected to projector; It is characterized in that this method may further comprise the steps:
(1) visible sensation method that uses a computer is finished system calibrating in conjunction with the camera that is installed on the projector;
(2) visible sensation method that uses a computer is analyzed and is calculated the view data of camera collection, determines pixel corresponding relation between projector and the camera, sets up the corresponding pixel points coordinate Mapping;
(3) use a computer visible sensation method and in conjunction with the view data of camera collection is that projection surface sets up the Lang Baite reflection model of optimizing;
(4) use a computer visible sensation method and in conjunction with the view data of camera collection carries out pre-service with pre-projected image, according to the stretch color gamut of pre-projected image of the effective image display space that calculates;
(5) use a computer visible sensation method and in conjunction with the view data of camera collection carries out overall luminance compensation to the priming color compensating images, and the pixel color offset is carried out verification optimization;
(6) use is based on the binary channels rendering intent of video card, to drawing through the projection color compensating image that calculates.
2. self-adaptation projection color compensating method according to claim 1 is characterized in that in the described step (1), said system calibrating is to use the camera plane standardization that camera is calibrated, and eliminates the radial distortion and the tangential distortion of camera.
3. self-adaptation projection color compensating method according to claim 1, it is characterized in that, said color compensating is that computing machine is by analyzing the color calibration reference picture of camera collection, at first projected image is carried out pre-service and overall luminance compensation, use the color compensating method of the Lang Baite reflection model of optimizing that projected image is carried out color correction then, finally eliminate the interference of intrinsic texture of projection surface and ambient lighting projected image.
4. self-adaptation projection color compensating method according to claim 1, it is characterized in that, in the described step (6), said binary channels method for drafting is pre-projected image to be drawn at first passage of video card obtain a two field picture, use the color compensating method that view data is calculated then, and with second passage of result of calculation input, at second passage of video card new image of a frame of completing, the output port of this two field picture by second passage inputs to projector and carries out projection.
5. self-adaptation projection color compensating method according to claim 1 is characterized in that said projector can adopt the DLP projector.
6. self-adaptation projection color compensating method according to claim 1 is characterized in that said camera can adopt IP Camera.
7. self-adaptation projection color compensating method according to claim 1 is characterized in that said computing machine can be the computer system with independent drawing video card.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103209311A (en) * | 2012-01-14 | 2013-07-17 | 复旦大学 | Multi-projection autocorrection display system based on camera |
| CN104424538A (en) * | 2013-08-26 | 2015-03-18 | Cjcgv株式会社 | Theater parameter management apparatus and method |
| CN104463858A (en) * | 2014-11-28 | 2015-03-25 | 中国航空无线电电子研究所 | Projection color self-adaption correction method |
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| WO2023010751A1 (en) * | 2021-08-02 | 2023-02-09 | 中国科学院深圳先进技术研究院 | Information compensation method and apparatus for highlighted area of image, device, and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060279494A1 (en) * | 2005-06-13 | 2006-12-14 | I-Hwei Yen | Color compensation system and color compensation method for a display |
| CN101640038A (en) * | 2009-08-26 | 2010-02-03 | 广东威创视讯科技股份有限公司 | Display device colour luminance compensation method, device and system |
| CN101860761A (en) * | 2010-04-16 | 2010-10-13 | 浙江大学 | Correction method of color distortion of projected display images |
| CN101916175A (en) * | 2010-08-20 | 2010-12-15 | 浙江大学 | Intelligent projecting method capable of adapting to projection surface automatically |
-
2011
- 2011-08-25 CN CN2011102464539A patent/CN102289360A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060279494A1 (en) * | 2005-06-13 | 2006-12-14 | I-Hwei Yen | Color compensation system and color compensation method for a display |
| CN101640038A (en) * | 2009-08-26 | 2010-02-03 | 广东威创视讯科技股份有限公司 | Display device colour luminance compensation method, device and system |
| CN101860761A (en) * | 2010-04-16 | 2010-10-13 | 浙江大学 | Correction method of color distortion of projected display images |
| CN101916175A (en) * | 2010-08-20 | 2010-12-15 | 浙江大学 | Intelligent projecting method capable of adapting to projection surface automatically |
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| CN104424538B (en) * | 2013-08-26 | 2018-08-17 | Cj Cgv 株式会社 | Theater parameter management device and method |
| CN104463858A (en) * | 2014-11-28 | 2015-03-25 | 中国航空无线电电子研究所 | Projection color self-adaption correction method |
| CN111051963B (en) * | 2016-07-01 | 2022-12-06 | 倾斜五股份有限公司 | Head-mounted projection display with multi-layer beam splitter and color correction |
| CN111051963A (en) * | 2016-07-01 | 2020-04-21 | 倾斜五股份有限公司 | Head-mounted projection display with multi-layer beam splitter and color correction |
| CN106504200A (en) * | 2016-09-14 | 2017-03-15 | 上海方奥通信技术有限公司 | The image irradiation compensation method mapped based on hue shift estimation and pointwise tone and system |
| CN106504200B (en) * | 2016-09-14 | 2022-12-09 | 上海方奥通信技术有限公司 | Image illumination compensation method and system based on hue offset estimation and point-by-point hue mapping |
| CN108206947A (en) * | 2016-12-19 | 2018-06-26 | 卡西欧计算机株式会社 | Projection arrangement, projecting method and recording medium |
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| CN112793508A (en) * | 2021-01-11 | 2021-05-14 | 恒大新能源汽车投资控股集团有限公司 | Roof display device and control method thereof |
| CN113012047A (en) * | 2021-03-26 | 2021-06-22 | 广州市赋安电子科技有限公司 | Dynamic camera coordinate mapping establishing method and device and readable storage medium |
| CN115460383A (en) * | 2021-06-09 | 2022-12-09 | 苹果公司 | Compensation for optical variation over time of image capture device components |
| WO2023010751A1 (en) * | 2021-08-02 | 2023-02-09 | 中国科学院深圳先进技术研究院 | Information compensation method and apparatus for highlighted area of image, device, and storage medium |
| CN115131251A (en) * | 2022-08-30 | 2022-09-30 | 之江实验室 | Image color cast correction method, device and storage medium |
| CN115131251B (en) * | 2022-08-30 | 2022-12-27 | 之江实验室 | Image color cast correction method, device and storage medium |
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