CN105096910A - Image processing method - Google Patents
Image processing method Download PDFInfo
- Publication number
- CN105096910A CN105096910A CN201510400796.4A CN201510400796A CN105096910A CN 105096910 A CN105096910 A CN 105096910A CN 201510400796 A CN201510400796 A CN 201510400796A CN 105096910 A CN105096910 A CN 105096910A
- Authority
- CN
- China
- Prior art keywords
- image
- color space
- original image
- color
- pixel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Image Processing (AREA)
- Facsimile Image Signal Circuits (AREA)
Abstract
The invention relates to an image processing method which comprises the following steps: (a), obtaining an original image and a degraded image obtained by adding ambient light base color into the original image; (b), obtaining a chromaticity difference between the original image and the degraded image; and (c), carrying out chromaticity compensation on the original image by using the chromaticity difference so as to obtain a compensated image. According to the invention, chromaticity compensation such as color saturation compensation or color gamut range expanding is carried out on the original image according to ambient light conditions, therefore, color brightness of the image displayed under the ambient light is improved and a display effect of display equipment is improved greatly.
Description
Technical field
The present invention relates to image procossing and display technique field, particularly a kind of image processing method.
Background technology
Display device is more and more extensive in the application of outdoor, such as mobile phone display screen and large LED display device etc., but display screen can have an impact to the display effect of display device to the reflection of surround lighting, cause that display frame is gloomy, contrast declines, color saturation reduces, degradation under the vividness of color.Fig. 1 is the design sketch observed on indoor display device, Fig. 2 is the design sketch under emulation outdoor environment light, display device observed, and comparison diagram 1 and Fig. 2 can see: the effect of observing under surround lighting be out of doors the picture of display image dim unclear, contrast declines, color saturation declines.Therefore, it is very important for carrying out effective compensation not good for display frame quality under environmental protect light to color.
Summary of the invention
For defect of the prior art and deficiency, the invention provides a kind of image processing method, to solve the problem of the not enough or colour gamut reduction of display device display color of image saturation degree under surround lighting.
Particularly, a kind of image processing method that the embodiment of the present invention proposes, comprises step: (a) obtain original image and described original image add surround lighting background color after degraded image; B () obtains the colourity difference of described original image and described degraded image; And (c) utilizes described colourity difference to carry out chromatic compensation to be compensated rear image to described original image.
In one embodiment of the invention, step (b) comprising: (b1) by described original image and described degraded image from the first color space conversion to the second color space; And (b2) obtains described original image and the colourity difference of described degraded image in described second color space.
In one embodiment of the invention, described first color space is RGB color space and described second color space is LCH color space.Step (b2) comprising: obtain color saturation with the described degraded image corresponding pixel color saturation in the chrominance information of described second color space of each pixel of described original image in the chrominance information of described second color space; And utilize formula C
diff=C-C
flarecalculate the difference of the described color saturation of the described color saturation pixel corresponding with described degraded image of described each pixel of original image, wherein C
difffor described color saturation, C that described difference, C are described each pixel of original image
flarefor the described color saturation of the corresponding pixel of described degraded image.Step (c) comprising: utilize formula C
*=C+ α C
diffto calculate after described compensation each pixel of image at the color saturation of described second color space, wherein C
*for the described color saturation of each pixel of image after described compensation, α are penalty coefficient and are less than or equal to 1; And by image after described compensation from described second color space conversion to described first color space.
In one embodiment of the invention, step (c) comprising: keep the tone of each pixel of described original image in the chrominance information of described second color space constant.
In one embodiment of the invention, step (b1) comprising: by described original image and described degraded image first from described first color space conversion to the 3rd color space, then from described 3rd color space conversion to described second color space; Wherein, described 3rd color space is Lab color space.
In one embodiment of the invention, described first color space is RGB color space and described second color space is Lxy color space.Step (b2) comprising: obtain chromaticity coordinates with the described degraded image corresponding pixel chromaticity coordinates in the chrominance information of described second color space of each pixel of described original image in the chrominance information of described second color space; And utilize formula
calculate the variable quantity of described chromaticity coordinates to the described chromaticity coordinates of the corresponding pixel of described degraded image of described each pixel of original image, wherein
for described variable quantity, C (x
0, y
0) be described chromaticity coordinates, the C of described each pixel of original image
f(x
f, y
f) be the described chromaticity coordinates of the corresponding pixel of described degraded image.Step (c) comprising: utilize formula
to calculate after described compensation each pixel of image at the chromaticity coordinates of described second color space, wherein C
*the described chromaticity coordinates that (x, y) is each pixel of image after described compensation, α are penalty coefficient and are less than or equal to 1; And by image after described compensation from described second color space conversion to described first color space.
In one embodiment of the invention, step (b1) comprising: by described original image and described degraded image first from described first color space conversion to the 3rd color space, then from described 3rd color space conversion to described second color space; Wherein, described 3rd color space is XYZ color space.
In addition, a kind of image processing method that another embodiment of the present invention proposes, comprises step: (i) obtains original image; (ii) color measurements of screen picture when target display devices under ambient light shows described original image is obtained; (iii) difference between the chromatic value of described original image and the color measurements of described screen picture is obtained; And (iv) utilizes described difference to carry out chromatic compensation to be compensated rear image for upgrading described display image screen to described original image.
In one embodiment of the invention, the described chromatic compensation in step (iv) is for carrying out color saturation compensation to described original image and keeping tone constant.
In one embodiment of the invention, the described chromatic compensation in step (iv) is the gamut range expanding described original image.
As from the foregoing, the embodiment of the present invention environmentally optical condition is carried out chromatic compensation to original image and is such as compensated color saturation or expand original image gamut range, therefore, it is possible to make the image color vividness shown under ambient light improve, the display effect of display device improves greatly.
By the detailed description below with reference to accompanying drawing, other side of the present invention and feature become obvious.But it should be known that this accompanying drawing is only the object design of explanation, instead of as the restriction of scope of the present invention, this is because it should with reference to additional claim.Should also be appreciated that, unless otherwise noted, unnecessaryly draw accompanying drawing to scale, they only try hard to structure described herein and flow process are described conceptually.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.
The display effect figure that Fig. 1 observes when being and showing image on indoor display device.
The design sketch that Fig. 2 observes when being and showing image on the display device under emulation outdoor environment light.
Fig. 3 is LCH color space model figure.
Fig. 4 is the image processing flow schematic diagram be relevant in first embodiment of the invention.
Fig. 5 is the colour gamut reduction schematic diagram after original image adds surround lighting background color.
Fig. 6 a-6d be relevant to first embodiment of the invention original image, compensate after the simulation drawing of image and degraded image.
Embodiment
For enabling above-mentioned purpose of the present invention, feature and advantage become apparent more, are described in detail the specific embodiment of the present invention below in conjunction with accompanying drawing.
[the first embodiment]
Below in conjunction with Fig. 3 and Fig. 4, the image processing method of first embodiment of the invention is described.Particularly, the image processing method of the present embodiment can adopt following technical scheme to realize:
First by obtain original image from RGB color space conversion to LCH color space.Can be specifically by original image from RGB color space be first transformed into Lab color space, again by Lab color space conversion to LCH color space; Because RGB color space, Lab color space and LCH color space are known color space, its mutual conversion formula is known technology, therefore does not repeat them here.
Next, the monochrome information of each pixel of original image at LCH color space can be extracted, monochrome information be done and maps process with the contrast improving integral image; Concrete mapping treatment method can be: a) do overall Nonlinear Mapping to monochrome information, and to make the contrast of the low ash fusion behavior of image have remarkable lifting, the details of shadow is by level and smooth expansion; B) monochrome information of image being divided into basal layer (low frequency part) and levels of detail (HFS), then global map processing example being carried out as adopted the mapping algorithm of reservation brightness of image difference in perception or non-linear global map algorithm to basal layer.Certainly, if do not emphasize the lifting of contrast, this step also can not be carried out.
In addition, extract each pixel of original image and carry out chromatic compensation in the chrominance information of LCH color space, the color saturation such as extracted in chrominance information carries out color saturation compensation, compensates decide primarily of ambient light intensity the color saturation of original image.Ambient light intensity can by the equipment Real-time Obtaining of optical sensor or light probe and so on; When surround lighting is stronger, will be enhanced, and become more bright-coloured by the original image shown after chromatic compensation, tone (H) remains unchanged.Principle and the core concept of chromatic compensation are as follows:
1) principle of chromatic compensation:
Color saturation refers to the purity of color, and purity is higher, and show distincter, purity is lower, shows then dulller.In order to describe the compensation of color saturation in detail, be described with Fig. 3, vertical table shows the change of gradation of image (brightness L), circumferencial direction represents the change of tone (H), what then represent along radial direction is the change of color saturation (C), and the outside color saturation in the center of circle increases.Circumferentially the saturation degree of tone is maximum.Represent the redness of different saturation in Fig. 3 respectively along the stain of two on red saturation scale radius, circumferentially stain represents that red saturation degree reaches maximum, and the saturation degree along radius stain is inwards just smaller.Due to adding of surround lighting background color, screen picture is doped with other light, causes colour purity to decline, and namely color saturation declines.
2) core concept of chromatic compensation:
First, original image is degraded process, be used for simulation human eye under ambient light to the perception of image quality on display screen.Degrade to process to image and refer to the image simulating original image and add surround lighting background color.The process that degrades generally can add surround lighting background color to RGB triple channel, and surround lighting background color is generally decided by the material reflectance of ambient light intensity and display device screen, so just can obtain the degraded image relevant to ambient light intensity.
As shown in Figure 4, then degraded image, from RGB color space conversion to LCH color space, (L represents brightness value, C represents that color saturation value and H represent hue angle angle value), and extract the color saturation of each pixel of degraded image in the chrominance information of LCH color space.This color saturation of degraded image represents color saturation after the decline caused reflection of ambient light because of display screen under ambient light, uses C herein
flarerepresent.Same method can obtain the color saturation of original image, represents with C.So just can obtain the difference C of the color saturation of each pixel of original image and degraded image
diff, and can according to this difference C
diffcalculate the color saturation of each pixel of original image being carried out to image after the compensation after chromatic compensation (color saturation compensation); Specific formula for calculation is as follows:
C
diff＝C-C
flare……(1)
C
*＝C+αC
diff……(2)
α in above-mentioned formula (2) is penalty coefficient and is less than or equal to 1, it represents the degree that color saturation compensates, and when being no more than display device gamut boundary, α is larger, the degree that color saturation compensates is larger, and after compensating, the color relation of image is more bright-coloured; C
*represent the color saturation of image after compensating.
After carrying out color saturation compensation and being compensated after image, again the bright chroma information (in corresponding diagram 4 LCH*) of image after compensation is become the bright chroma information (RGB* corresponding diagram 4) of rgb space from LCH color space conversion, thus the coloured image after a color saturation compensation can be obtained.It is worth mentioning that, at LCH color space shown in Fig. 4, monochrome information maps process by the above-mentioned overall situation or local and transforms to L* from L; But do not emphasizing the application scenarios that contrast promotes, the monochrome information of original image also can continue to have; In addition, the tone H in the chrominance information of original image shown in Fig. 4 remains unchanged.
Moreover, when first embodiment of the invention is applied in the image display process of display device, then can measure the ambient light intensity of display device in real time by the equipment of optical sensor or light probe and so on and the material reflectance in conjunction with display device display screen obtains surround lighting background color, again the original image of input is added this surround lighting background color to obtain degraded image, carry out aforesaid image processing method (color saturation compensation) afterwards and be compensated rear image, finally image after compensation is presented on the display screen of display device.
[the second embodiment]
Below in conjunction with Fig. 5, the image processing method of second embodiment of the invention is described.Particularly, the image processing method of the present embodiment can adopt following technical scheme to realize:
First by obtain original image from RGB color space conversion to Lxy color space.Can be specifically by original image from RGB color space be first transformed into XYZ color space, again by XYZ color space conversion to Lxy color space; Because RGB color space, XYZ color space and Lxy color space are known color space, its mutual conversion formula is known technology, therefore does not repeat them here.
Next, the monochrome information of each pixel of original image at LCH color space can be extracted, monochrome information be done and maps process with the contrast improving integral image; Mapping treatment method can be particularly: a) do overall Nonlinear Mapping to monochrome information, has remarkable lifting with the contrast of the low ash fusion behavior of image, and the details of shadow is by level and smooth expansion; B) monochrome information of image being divided into basal layer (low frequency part) and levels of detail (HFS), then global map processing example being carried out as adopted the mapping algorithm of reservation brightness of image difference in perception or non-linear global map algorithm to basal layer.Certainly, if do not emphasize the lifting of contrast, this step also can not be carried out.
In addition, in the chrominance information of Lxy color space, chromatic compensation is carried out to original image, such as, change according to the chromaticity coordinates of original image to degraded image, realize by the method for direct expanded color gamut scope, to improve bright-colored degree.At this, surround lighting is different, and degraded image also can be different relative to the colour gamut degree of taper of original image; Ambient light intensity by the equipment Real-time Obtaining of optical sensor or light probe and so on, when surround lighting is stronger, can will be enhanced by the original image shown after chromatic compensation, become more bright-coloured.Realize principle as follows:
As shown in Figure 5, when surround lighting irradiates on the display screen, adding of reflection ray, add the background color of display image, the color saturation of image reduces, colour gamut is reduced to white portion, and be also that the large triangle (gamut range of corresponding original image) in corresponding diagram 5 reduces into little triangle (gamut range of corresponding degraded image), colour vividness declines.Thus, what the present embodiment will do realizes chromatic compensation by gamut extension exactly, also namely according to degraded image relative to the degree of taper of original image at gamut range, original image is carried out to the expansion of corresponding gamut range, improves the vividness of color whereby.
The method that colour gamut is expanded is: the chromaticity coordinates C (x obtaining each pixel in the Lxy space of original image
0, y
0), after original image adds surround lighting background color, colour gamut is reduced, and supposes that the chromaticity coordinates of each pixel of degraded image after colour gamut reduction is C
f(x
f, y
f).The degree of chromaticity coordinates change then can be expressed as vector:
afterwards, gamut extension is carried out to original image and the chromaticity coordinates C of each pixel of image after the compensation obtained
*(x, y) meets formula:
α in above-mentioned formula (3) is penalty coefficient and is less than or equal to 1, and it represents the degree of gamut extension, and when being no more than display device gamut boundary, α is larger, and the degree of gamut extension is larger, and after compensating, the color relation of image is more bright-coloured.
After carrying out gamut extension and being compensated after image, then image after compensation is first converted to XYZ color space from Lxy color space, is transformed into rgb space again, thus the coloured image after a gamut extension can be obtained.
Moreover, when second embodiment of the invention is applied in the image display process of display device, then can measure the ambient light intensity of display device in real time by the equipment of optical sensor or light probe and so on and the material reflectance in conjunction with display device display screen obtains surround lighting background color, again the original image of input is added this surround lighting background color to obtain degraded image, carry out aforesaid image processing method (gamut extension) afterwards and be compensated rear image, finally image after compensation is presented on the display screen of display device.
[the 3rd embodiment]
The main difference part of third embodiment of the invention and aforementioned first embodiment, the second embodiment is: the 3rd embodiment is not calculate degraded image based on measure ambient light conditions, but adopts the mode directly measured to carry out, specific as follows:
First the chromatic value of screen picture (degraded image also under ambient light effects) when the equipment such as acquisition light probe, chromaticity transducer directly measures display device display original image under surround lighting and the color measurements that obtains;
Next, the difference between the chromatic value of original image and the color measurements of screen picture is obtained
Afterwards, the color saturation compensation method of the first embodiment or the gamut extension mode of the second embodiment can be adopted to carry out chromatic compensation to original image, improve the loss of vividness in order to color saturation under compensate for ambient light of image.
Moreover, when third embodiment of the invention is applied in the image display process of display device, then can by light probe, the chromatic value of screen picture (degraded image also under ambient light effects) when the original image of the display of display device under ambient light input measured in real time by chromaticity transducer, obtain the difference between the chromatic value of the original image of input and the color measurements of screen picture again, utilize described difference to carry out aforesaid image processing method (color saturation compensates or gamut extension) afterwards and be compensated rear image, finally utilize the screen picture of image update display device after compensating.Herein, what deserves to be explained is, because original image being carried out chromatic compensation, to be compensated the process time of rear image very short, display device from display original image for obtain color measurements be switched to display compensate after the process time of image correspondingly also very short, thus the display effect of the original image that beholder is visually seen is still to compensate the display effect of rear image.
Refer to Fig. 6 a-6d, it is for being relevant to part of test results of the present invention.Particularly, Fig. 6 a refers to the display effect of the original image observed under dark situation, Fig. 6 b is the display effect that after the compensation obtained by aforementioned first embodiment of the present invention, image is observed under dark situation, Fig. 6 c is original image is the degraded image of 1000lux condition Imitating at ambient light intensity, and Fig. 6 d is then that after the compensation obtained by aforementioned first embodiment of the present invention, image is the simulate effect figure under the condition of 1000lux at ambient light intensity.Can find out, Fig. 6 d compares image 6c color saturation and obviously strengthens, more close with the display effect of original image under dark situation, and also namely display effect under ambient light improves greatly.
In addition, it is worth mentioning that, image processing method expectation of the present invention is applied to the display device that all open airs may use, as DLP projection, LED display, mobile phone terminal etc.
Finally, what be also worth one to say is, the above embodiment of the present invention carries out chromatic compensation at LCH color space, Lxy color space, but the present invention is not as limit, also chromatic compensation can be carried out at other similar color spaces, such as Lab color space, hsv color space, HIS color space etc.
In sum, the embodiment of the present invention environmentally optical condition is carried out chromatic compensation to original image and is such as compensated color saturation or expand original image gamut range, therefore, it is possible to make the image color vividness shown under ambient light improve, the display effect of display device improves greatly.
So far, apply specific case herein and set forth the principle of image processing method of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention; all will change in specific embodiments and applications; in sum, this description should not be construed as limitation of the present invention, and protection scope of the present invention should be as the criterion with appended claim.
Claims (10)
1. an image processing method, is characterized in that, comprises step:
A () acquisition original image and described original image add the degraded image after surround lighting background color;
B () obtains the colourity difference of described original image and described degraded image; And
C () utilizes described colourity difference to carry out chromatic compensation to be compensated rear image to described original image.
2. image processing method as claimed in claim 1, it is characterized in that, step (b) comprising:
(b1) by described original image and described degraded image from the first color space conversion to the second color space; And
(b2) described original image and the colourity difference of described degraded image in described second color space is obtained.
3. image processing method as claimed in claim 2, it is characterized in that, described first color space is RGB color space and described second color space is LCH color space, and step (b2) comprising:
Obtain color saturation with the described degraded image corresponding pixel color saturation in the chrominance information of described second color space of each pixel of described original image in the chrominance information of described second color space; And
Utilize formula C
diff=C-C
flarecalculate the difference of the described color saturation of the described color saturation pixel corresponding with described degraded image of described each pixel of original image, wherein C
difffor described color saturation, C that described difference, C are described each pixel of original image
flarefor the described color saturation of the corresponding pixel of described degraded image;
Step (c) comprising:
Utilize formula C
*=C+ α C
diffto calculate after described compensation each pixel of image at the color saturation of described second color space, wherein C
*for the described color saturation of each pixel of image after described compensation, α are penalty coefficient and are less than or equal to 1; And
By image after described compensation from described second color space conversion to described first color space.
4. image processing method as claimed in claim 3, it is characterized in that, step (c) comprising:
Keep the tone of each pixel of described original image in the chrominance information of described second color space constant.
5. image processing method as claimed in claim 3, it is characterized in that, step (b1) comprising:
By described original image and described degraded image first from described first color space conversion to the 3rd color space, then from described 3rd color space conversion to described second color space; Wherein, described 3rd color space is Lab color space.
6. image processing method as claimed in claim 2, it is characterized in that, described first color space is RGB color space and described second color space is Lxy color space, and step (b2) comprising:
Obtain chromaticity coordinates with the described degraded image corresponding pixel chromaticity coordinates in the chrominance information of described second color space of each pixel of described original image in the chrominance information of described second color space; And
Utilize formula
calculate the variable quantity of described chromaticity coordinates to the described chromaticity coordinates of the corresponding pixel of described degraded image of described each pixel of original image, wherein
for described variable quantity, C (x
0, y
0) be described chromaticity coordinates, the C of described each pixel of original image
f(x
f, y
f) be the described chromaticity coordinates of the corresponding pixel of described degraded image;
Step (c) comprising:
Utilize formula
to calculate after described compensation each pixel of image at the chromaticity coordinates of described second color space, wherein C
*the described chromaticity coordinates that (x, y) is each pixel of image after described compensation, α are penalty coefficient and are less than or equal to 1; And
By image after described compensation from described second color space conversion to described first color space.
7. image processing method as claimed in claim 6, it is characterized in that, step (b1) comprising:
By described original image and described degraded image first from described first color space conversion to the 3rd color space, then from described 3rd color space conversion to described second color space; Wherein, described 3rd color space is XYZ color space.
8. an image processing method, is characterized in that, comprises step:
I () obtains original image;
(ii) color measurements of screen picture when target display devices under ambient light shows described original image is obtained;
(iii) difference between the chromatic value of described original image and the color measurements of described screen picture is obtained; And
(iv) described difference is utilized to carry out chromatic compensation to be compensated rear image for upgrading described display image screen to described original image.
9. image processing method as claimed in claim 8, is characterized in that, in step (iv), described chromatic compensation is for carrying out color saturation compensation to described original image and keeping tone constant.
10. image processing method as claimed in claim 8, it is characterized in that, in step (iv), described chromatic compensation is the gamut range expanding described original image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510400796.4A CN105096910B (en) | 2015-07-09 | 2015-07-09 | Image processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510400796.4A CN105096910B (en) | 2015-07-09 | 2015-07-09 | Image processing method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105096910A true CN105096910A (en) | 2015-11-25 |
| CN105096910B CN105096910B (en) | 2018-02-16 |
Family
ID=54577201
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510400796.4A Active CN105096910B (en) | 2015-07-09 | 2015-07-09 | Image processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105096910B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107066690A (en) * | 2017-03-02 | 2017-08-18 | 平顶山天安煤业股份有限公司 | A kind of computer based image calculates drilling depth control system |
| CN107424140A (en) * | 2017-03-02 | 2017-12-01 | 平顶山天安煤业股份有限公司 | One kind is based on panorama remote viewing imaging and drilling track Measurement and Control System |
| CN108515262A (en) * | 2018-05-03 | 2018-09-11 | 广东水利电力职业技术学院（广东省水利电力技工学校） | A kind of new pattern laser engraving unit control system |
| CN108735180A (en) * | 2017-04-14 | 2018-11-02 | 展讯通信（上海）有限公司 | A kind of image treatment method and device |
| CN109033970A (en) * | 2018-06-26 | 2018-12-18 | 扬州工业职业技术学院 | A kind of weed identification image irradiation compensation method based on three-dimensional colour atla |
| WO2019165934A1 (en) * | 2018-02-28 | 2019-09-06 | 华为技术有限公司 | Method for adjusting display brightness level, and electronic device |
| CN111563857A (en) * | 2020-05-12 | 2020-08-21 | 上海观祇信息科技有限公司 | Image identification method for special lead seal number of container |
| CN112532981A (en) * | 2020-12-01 | 2021-03-19 | 北京印刷学院 | Method, apparatus, and computer-readable storage medium for image compression |
| CN113016026A (en) * | 2018-11-12 | 2021-06-22 | Eizo株式会社 | Image processing system, image processing apparatus, and computer program |
| CN115484447A (en) * | 2022-11-14 | 2022-12-16 | 深圳市芯图科技有限公司 | Projection method, projection system and projector based on high color gamut adjustment |
| CN117079618A (en) * | 2023-10-18 | 2023-11-17 | 深圳可视科技有限公司 | LED liquid crystal display screen brightness correction method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1353548A (en) * | 2000-11-13 | 2002-06-12 | 台达电子工业股份有限公司 | Intelligent autoamtic brightness contrast and colour compensation system |
| CN1394328A (en) * | 2000-08-28 | 2003-01-29 | 精工爱普生株式会社 | Environment compatible image display system, image processing method and information storing medium |
| CN1890987A (en) * | 2003-12-10 | 2007-01-03 | 日本电气株式会社 | Projector color correcting method |
| CN1992912A (en) * | 2005-12-29 | 2007-07-04 | 三星电子株式会社 | Method and device for adjusting image color in image projector |
| CN103402117A (en) * | 2013-08-06 | 2013-11-20 | 夏东 | Method for detecting color cast of video image based on Lab chrominance space |
| CN104700777A (en) * | 2015-03-27 | 2015-06-10 | 西安电子科技大学 | Image display method and image display brightness adjusting device |
-
2015
- 2015-07-09 CN CN201510400796.4A patent/CN105096910B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1394328A (en) * | 2000-08-28 | 2003-01-29 | 精工爱普生株式会社 | Environment compatible image display system, image processing method and information storing medium |
| CN1353548A (en) * | 2000-11-13 | 2002-06-12 | 台达电子工业股份有限公司 | Intelligent autoamtic brightness contrast and colour compensation system |
| CN1890987A (en) * | 2003-12-10 | 2007-01-03 | 日本电气株式会社 | Projector color correcting method |
| CN1992912A (en) * | 2005-12-29 | 2007-07-04 | 三星电子株式会社 | Method and device for adjusting image color in image projector |
| CN103402117A (en) * | 2013-08-06 | 2013-11-20 | 夏东 | Method for detecting color cast of video image based on Lab chrominance space |
| CN104700777A (en) * | 2015-03-27 | 2015-06-10 | 西安电子科技大学 | Image display method and image display brightness adjusting device |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107066690A (en) * | 2017-03-02 | 2017-08-18 | 平顶山天安煤业股份有限公司 | A kind of computer based image calculates drilling depth control system |
| CN107424140A (en) * | 2017-03-02 | 2017-12-01 | 平顶山天安煤业股份有限公司 | One kind is based on panorama remote viewing imaging and drilling track Measurement and Control System |
| CN108735180B (en) * | 2017-04-14 | 2019-12-27 | 展讯通信（上海）有限公司 | Image processing method and device |
| CN108735180A (en) * | 2017-04-14 | 2018-11-02 | 展讯通信（上海）有限公司 | A kind of image treatment method and device |
| WO2019165934A1 (en) * | 2018-02-28 | 2019-09-06 | 华为技术有限公司 | Method for adjusting display brightness level, and electronic device |
| CN108515262A (en) * | 2018-05-03 | 2018-09-11 | 广东水利电力职业技术学院（广东省水利电力技工学校） | A kind of new pattern laser engraving unit control system |
| CN109033970A (en) * | 2018-06-26 | 2018-12-18 | 扬州工业职业技术学院 | A kind of weed identification image irradiation compensation method based on three-dimensional colour atla |
| CN113016026A (en) * | 2018-11-12 | 2021-06-22 | Eizo株式会社 | Image processing system, image processing apparatus, and computer program |
| CN113016026B (en) * | 2018-11-12 | 2023-07-25 | Eizo株式会社 | Image processing system, image processing apparatus, and recording medium |
| CN111563857A (en) * | 2020-05-12 | 2020-08-21 | 上海观祇信息科技有限公司 | Image identification method for special lead seal number of container |
| CN112532981A (en) * | 2020-12-01 | 2021-03-19 | 北京印刷学院 | Method, apparatus, and computer-readable storage medium for image compression |
| CN115484447A (en) * | 2022-11-14 | 2022-12-16 | 深圳市芯图科技有限公司 | Projection method, projection system and projector based on high color gamut adjustment |
| CN117079618A (en) * | 2023-10-18 | 2023-11-17 | 深圳可视科技有限公司 | LED liquid crystal display screen brightness correction method and system |
| CN117079618B (en) * | 2023-10-18 | 2024-01-05 | 深圳可视科技有限公司 | LED liquid crystal display screen brightness correction method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105096910B (en) | 2018-02-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105096910A (en) | Image processing method | |
| US9818333B2 (en) | Method of self-adaptive conversion for images | |
| JP5611508B2 (en) | Ambient light adaptive color correction apparatus and method | |
| US10347198B2 (en) | Image displaying methods and display devices | |
| US20140002481A1 (en) | Method for converting data, display device, computing device and program incorporating same, and method for optimising coefficients and device and program incorporating same | |
| WO2018036096A1 (en) | Method for adjusting colour drift in white balance process of four colour display device | |
| KR20090076033A (en) | Apparatus and method for providing visibility enhancement in portable terminal | |
| CN105825479B (en) | A kind of image enchancing method under environment light | |
| CN103383830B (en) | Method for viewing virtual display outputs | |
| CN105100761A (en) | Image display method | |
| US20110148902A1 (en) | Evaluation method of display device | |
| CN103474046B (en) | Method for improving color reproduction effect from digital camera to displayer | |
| CN101720045A (en) | Method of hue/brightness conversion in laser-displayed color gamut expansion | |
| CN102187657A (en) | Contrast enhancement of images | |
| Chae et al. | A tone compression model for the compensation of white point shift generated from HDR rendering | |
| CN103093739B (en) | Light source color custom method and light source color custom system | |
| US9794450B2 (en) | Image processor, image display device, and image processing method for correcting input image | |
| CN108717839B (en) | Method and device for converting RGB (red, green and blue) to RGBW (red, green and blue) and storage medium | |
| US20150085162A1 (en) | Perceptual radiometric compensation system adaptable to a projector-camera system | |
| KR101715854B1 (en) | Method and unit converting color temperature for improving emotional image quality and digital display apparatus using the same | |
| Gong et al. | Impacts of appearance parameters on perceived image quality for mobile-phone displays | |
| KR101715853B1 (en) | Color gamut expansion method and unit, and wide color gamut display apparatus using the same | |
| CN109119046A (en) | The regulating system and adjusting method of gray-scale intensity, memory | |
| Kim et al. | Color correction using rotation matrix for HDR rendering in iCAM06 | |
| CN105184746B (en) | Color image enhancement processing method based on histogram equalization |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: 710075 DEF101, Zero One Square, Xi'an Software Park, No. 72 Zhangbajie Science and Technology Second Road, Xi'an High-tech Zone, Shaanxi Province Patentee after: Xi'an Nova Nebula Technology Co., Ltd. Address before: 710075 Qinfengge D District 401, Xi'an Software Park, 68 Science and Technology Second Road, Xi'an High-tech Zone, Shaanxi Province Patentee before: Xian Novastar Electronic Technology Co., Ltd. |