CN113298726A - Image display adjusting method and device, display equipment and storage medium - Google Patents
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Abstract
The invention discloses an image display adjusting method, an image display adjusting device, a display device and a storage medium, wherein the method comprises the following steps: the method comprises the steps of adjusting and obtaining an input original image, and obtaining an RGBA value of each pixel point in the original image; carrying out parameter adjustment on the RGBA value of the pixel point to generate a new RGBA value; wherein the adjusted parameters include one or more of brightness, contrast, saturation, and picture color temperature; a new image is generated from the new RGBA values. The invention can eliminate or weaken the phenomenon of inconsistent display effect on the same work caused by the difference of the display equipment, and restore the real image.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to an image display adjusting method, an image display adjusting device, display equipment and a storage medium.
Background
Due to differences of production technologies and materials, the display effect of the terminal screen is inconsistent (for example, the effect of the same image displayed on different display screens is different), and due to certain differences between the brightness, color temperature and other parameters of the display screen and the brightness and color temperature of the original film, the displayed effect is different from the original color, and the differences have a large influence on some use scenes. For example: in art color teaching and art color teaching in industries such as art and art, the requirement on the color effect of an image displayed on a display screen is highly restored with the original color. Therefore, the existing display technology cannot meet the interactive requirements of art color teaching, color communication, online teaching, electronic commerce and the like through display equipment.
Disclosure of Invention
The invention mainly aims to overcome the defects in the prior art and provides an image display adjusting method, an image display adjusting device, display equipment and a storage medium.
The invention adopts the following technical scheme:
in one aspect, an image display adjustment method includes:
acquiring an input original image, and acquiring an RGBA value of each pixel point in the original image;
carrying out parameter adjustment on the RGBA value of the pixel point to generate a new RGBA value; wherein the adjusted parameters include one or more of brightness, contrast, saturation, and picture color temperature;
a new image is generated from the new RGBA values.
Preferably, the method for adjusting the RGBA values of the pixel points includes a matrix operation method, specifically, a 4 × 5 color matrix M is used to perform matrix operation on the RGBA values of the original pixels to obtain a new R1G1B1a1 value, as follows:
wherein the values of a, b, c, d, e in the first row are used to determine red R1 in the new color value; the values of f, G, h, i, j in the second row are used to determine green G1 in the new color value; the values of k, l, m, n, o in the third row are used to determine blue B1 in the new color value; the values of p, q, r, s, t in the fourth row are used to determine transparency A1 in the new color value; the values of e, j, o, t in the fifth column are used to determine the offset, i.e., offset, in each component.
Preferably, the method for acquiring the color matrix M includes:
acquiring adjusted brightness and contrast parameters, and acquiring a 4 x 5 color matrix M1 based on the adjusted brightness and contrast parameters;
acquiring the adjusted saturation parameter, and acquiring a 4 x 5 color matrix M2 based on the adjusted saturation parameter;
acquiring adjusted picture color temperature parameters, and acquiring a 4 x 5 color matrix M3 based on the adjusted picture color temperature parameters;
and carrying out matrix mixing processing on the color matrix M1, the color matrix M2 and the color matrix M3 by a matrix superposition method to obtain the color matrix M.
Preferably, the color matrix M1 is represented as follows:
wherein e1 ═ j1 ═ o1 ═ 127.5 ═ 1+ B) -127.5 ═ 1-B ═ k 1; a1, m1, g1, k 1;
brightness representation adjustedA brightness value; constast represents the adjusted contrast value.
Preferably, the color matrix M2 is represented as follows:
wherein sat represents the adjusted saturation value, and r2 is 0.213 (1-sat); g2 ═ 0.715 ═ 1-sat; b2 ═ 0.072 (1-sat).
Preferably, the color matrix M3 is represented as follows:
wherein,
MAX (r3, g3, b 3); MIN (r3, g3, b 3); the picture color temperature parameters include r3, g3 and b3, and r3, g3 and b3 respectively represent adjusted R, G, B parameter values.
Preferably, after generating the new RGBA value, the method further includes:
and receiving the adjustment of Gamma, acquiring the adjusted Gamma value, and performing Gamma correction on the new RGBA.
In another aspect, an image display adjustment apparatus includes:
the original image acquisition module is used for acquiring an input original image and acquiring an RGBA value of each pixel point in the original image;
the image adjusting module is used for performing parameter adjustment on the RGBA value of the pixel point to generate a new RGBA value; wherein the adjusted parameters include one or more of brightness, contrast, saturation, and picture color temperature;
and the new image generation module is used for generating a new image according to the new RGBA value.
In still another aspect, a display apparatus includes a memory storing a computer program and a processor implementing the steps of the image display adjustment method when the processor executes the computer program.
In still another aspect, a computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the image display adjustment method.
As can be seen from the above description of the present invention, compared with the prior art, the present invention has the following advantages:
(1) the method obtains the new RGBA value image by performing parameter adjustment on the RGBA value of the pixel point of the original image, the new image can eliminate or weaken the phenomenon of inconsistent display effect on the same work caused by the difference of display equipment, the real image is restored, the requirement on the color reality degree of image display in the fields of art, art and the like is met, and the high color restoration is realized;
(2) according to the invention, one or more of the brightness, the contrast, the saturation and the picture color temperature are adjusted, so that the color matrix in the matrix operation method is adjusted, the fusion of each color matrix is realized through matrix superposition, the adjustment of RGBA data is further realized, and the adjustment is simple, convenient and visual;
(3) in order to further eliminate the display difference caused by different display screens of the equipment, the invention further performs Gamma correction, specifically performs power operation on the pixel RGB value of the image to adjust the Gamma value to adjust the gray value in the image.
The above description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the description of the technical means more comprehensible.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
FIG. 1 is a flowchart of an image adjustment method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an interface for image adjustment according to an embodiment of the present invention;
FIG. 3 is a block diagram of an image display adjustment apparatus according to an embodiment of the present invention;
fig. 4 is an internal structural view of a display device according to an embodiment of the present invention.
Detailed Description
The invention is further described below by means of specific embodiments.
Referring to fig. 1, the image display adjustment method of the present invention includes:
s101, acquiring an input original image, and acquiring an RGBA value of each pixel point in the original image;
s102, performing parameter adjustment on the RGBA value of the pixel point to generate a new RGBA value; wherein the adjusted parameters include one or more of brightness, contrast, saturation, and picture color temperature;
and S103, generating a new image according to the new RGBA value.
Specifically, the image display adjustment method of the present invention further includes:
s104, judging whether the display effect of the new image meets the requirement, and if so, stopping parameter adjustment; if not, repeating the step of adjusting the RGBA value of the pixel point.
It should be noted that the input original image may be an image obtained by directly shooting a work through a display device, may also be an image already stored in the display device, and may also be an image obtained in another manner, which is not limited in this embodiment.
Further, the method for adjusting the RGBA values of the pixel points includes a matrix operation method, specifically, a 4 × 5 color matrix M is used to perform matrix operation on the RGBA values of the original pixels to obtain a new R1G1B1a1 value, as follows:
wherein the values of a, b, c, d, e in the first row are used to determine red R1 in the new color value; the values of f, G, h, i, j in the second row are used to determine green G1 in the new color value; the values of k, l, m, n, o in the third row are used to determine blue B1 in the new color value; the values of p, q, r, s, t in the fourth row are used to determine transparency A1 in the new color value; the values of e, j, o, t in the fifth column are used to determine the offset, i.e., offset, in each component. The display of the original picture can be changed only by modifying the data of the color matrix M.
Of course, the method for adjusting the RGBA values of the pixel points may also include other methods, and is not limited to the matrix operation method.
Further, the method for acquiring the color matrix M includes:
acquiring adjusted brightness and contrast parameters, and acquiring a 4 x 5 color matrix M1 based on the adjusted brightness and contrast parameters;
acquiring the adjusted saturation parameter, and acquiring a 4 x 5 color matrix M2 based on the adjusted saturation parameter;
acquiring adjusted picture color temperature parameters, and acquiring a 4 x 5 color matrix M3 based on the adjusted picture color temperature parameters;
and carrying out matrix mixing processing on the color matrix M1, the color matrix M2 and the color matrix M3 by a matrix superposition method to obtain the color matrix M.
Specifically, the parameter adjustment method can be realized by interface input or by adjusting a sliding bar. The present invention is not particularly limited. Referring to fig. 2, taking the modification of the sliding bar as an example, the corresponding sliding bar is slid through the interface to achieve the corresponding effect of fast adjustment.
Further, the color matrix M1 (color matrix common to brightness and contrast) is expressed as follows:
the values of e1, j1 and o1 in the matrix are correspondingly modified by adjusting the brightness, and the values of RGB are increased or decreased.
For the slide bar corresponding to the luminance bar of the example graph, the adjustment range is set to 0-100 by taking the RGB value of the original pixel corresponding to the luminance 50 as an example.
Adjusting the contrast ratio modifies a1, g1 and m1 in the matrix correspondingly, and changes the RGB values by multiple times to achieve the effect of adjusting the contrast ratio.
For the slide bar corresponding to the contrast bar of the example image, the contrast 50 is set to be 0-100 corresponding to the RGB value of the original pixel.
The adjusted new RGB values are obtained by introducing the brightness and contrast adjustment parameters and the RGB values of the image pixels as follows:
wherein, VintIs the RGB value of the original image, VoutThe adjusted output RGB value; brightness is the value of the sliding bar corresponding to the brightness column of the example image, and the value range is 0-100; the contrast is a value of the example image corresponding to the slide bar, and the value range is 0-100;
the corresponding parameters converted into the color matrix are:
e1＝j1＝o1＝127.5*(1+B)-127.5*(1-B)*k1
a1＝m1＝g1＝k1。
further, the color matrix M2 (saturation adjustment matrix) is expressed as follows:
wherein sat represents the adjusted saturation value, and r2 is 0.213 (1-sat); g2 ═ 0.715 ═ 1-sat; b2 ═ 0.072 (1-sat).
That is, the values of abc, fgh, and klm positions in the matrix M1 are set, respectively, and the ratio of the RGB corresponding values is changed by the color matrix algorithm.
For the example of the sliding bar corresponding to the saturation column of the exemplary graph, if the saturation is 100% corresponding to the RGB value of the original pixel and the adjustment range is set to 90% to 110%, the sat value range is 90% to 110%, and the value corresponds to the specific value of the sliding bar.
Further, the color matrix M3 is represented as follows:
the color matrix achieves the effect of adjusting the color temperature of the picture by fine-tuning R, G, B values.
Wherein,
MAX (r3, g3, b 3); MIN (r3, g3, b 3); the picture color temperature parameters include r3, g3 and b3, and r3, g3 and b3 respectively represent adjusted R, G, B parameter values.
Setting the value of r3 corresponding to the slide bar in the cyan-red column in fig. 2, taking the value range of-5 to 5 as an example, the value range of r3 is-5 to 5, and the value corresponds to the specific value of the slide bar;
setting a value of g3 corresponding to the sliding bar in the pin-green column in fig. 2, taking a value range of-5 to 5 as an example, then a value of g3 is in a range of-5 to 5, and the value corresponds to a specific value of the sliding bar;
the value of b3 is set corresponding to the slide bar in the yellow-blue column in fig. 2, and taking the value range of-5 to 5 as an example, the value range of b3 is-5 to 5, and the value corresponds to the specific value of the slide bar.
Specifically, all matrices requiring the superposition effect may be mixed by a matrix superposition algorithm to obtain a new matrix, and then a new image is obtained by the matrix algorithm, where the superposition process is as follows:
assuming that the color matrix after brightness and contrast adjustment is M1, the color matrix after saturation adjustment is M2, the color matrix after color temperature adjustment is M3, and the color matrix after mixed superposition is M, then:
M＝setConcat(setConcat(M1，M2)，M3)
it should be noted that M1 and M3 may be grounded first and then overlapped with M2. The method includes the steps that any two of a color matrix M1, a color matrix M2 and a color matrix M3 are subjected to matrix superposition to obtain a new color matrix, and then the new color matrix and the color matrix which is not subjected to superposition are subjected to matrix superposition to obtain a color matrix M. Furthermore, if the parameters are not adjusted, the corresponding color matrix does not need to be superimposed, and if the brightness and contrast are not adjusted, only the color matrix M2 and the color matrix M3 need to be superimposed.
The specific matrix superposition algorithm is as follows:
furthermore, because of differences of display screens of devices and the like, the image display effect cannot achieve the effect of restoring a real work, so Gamma correction is needed, adjustment of Gamma cannot be simply adjusted through a color matrix, and power operation needs to be performed on pixel RGB values of an image so as to adjust Gamma values and adjust gray values in the image.
The method comprises the following specific steps:
Vout＝Vint gamma
wherein, VoutFor pixel RGB output, VintAnd inputting new pixels RGB after the matrix superposition processing. The sliding bar corresponding to the Gamma column of the example diagram is set with the value of Gamma, taking the value range of 0.7-1.3 as an example, the value range of Gamma is 0.7-1.3, and the value corresponds to the specific value of the sliding bar.
The image display adjusting method can eliminate or weaken the phenomenon that the display effect of the same work is inconsistent due to display equipment difference, and restore a real image.
On the other hand, referring to fig. 3, an image display adjusting apparatus includes:
an original image obtaining module 301, configured to obtain an input original image, and obtain an RGBA value of each pixel point in the original image;
an image adjusting module 302, configured to perform parameter adjustment on the RGBA values of the pixel points to generate new RGBA values; wherein the adjusted parameters include one or more of brightness, contrast, saturation, and picture color temperature;
a new image generation module 303 for generating a new image from the new RGBA values.
In this embodiment, the specific implementation and beneficial effects of the image display adjusting device are the same as those of the display method, and are not described again.
In an embodiment, a display device comprises a memory storing a computer program and a processor implementing the following steps when executing the computer program:
acquiring an input original image, and acquiring an RGBA value of each pixel point in the original image;
carrying out parameter adjustment on the RGBA value of the pixel point to generate a new RGBA value; wherein the adjusted parameters include one or more of brightness, contrast, saturation, and picture color temperature;
a new image is generated from the new RGBA values.
Referring to fig. 4, the display device includes a processor, a memory, and a network interface connected through a system bus. Wherein the processor of the display device is configured to provide computing and control capabilities. The memory of the display device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the display device is used for communicating with an external terminal through network connection. The computer program is executed by a processor to implement a text similarity calculation method.
It will be appreciated by those skilled in the art that the configuration shown in fig. 4 is a block diagram of only a portion of the configuration relevant to the present application, and does not constitute a limitation on the display device to which the present application is applied, and a particular display device may include more or less components than those shown in the drawings, or combine certain components, or have a different arrangement of components.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring an input original image, and acquiring an RGBA value of each pixel point in the original image;
carrying out parameter adjustment on the RGBA value of the pixel point to generate a new RGBA value; wherein the adjusted parameters include one or more of brightness, contrast, saturation, and picture color temperature;
a new image is generated from the new RGBA values.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. In addition, the expressions of "S101", "S102", and the like with respect to the steps are merely for convenience of description, and do not represent the order of actual execution.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An image display adjustment method, comprising:
acquiring an input original image, and acquiring an RGBA value of each pixel point in the original image;
carrying out parameter adjustment on the RGBA value of the pixel point to generate a new RGBA value; wherein the adjusted parameters include one or more of brightness, contrast, saturation, and picture color temperature;
a new image is generated from the new RGBA values.
2. The image display adjustment method according to claim 1, wherein the method for adjusting the RGBA values of the pixels comprises a matrix operation method, specifically, a 4 x 5 color matrix M is used to perform a matrix operation on the RGBA values of the original pixels to obtain new R1G1B1a1 values, as follows:
wherein the values of a, b, c, d, e in the first row are used to determine red R1 in the new color value; the values of f, G, h, i, j in the second row are used to determine green G1 in the new color value; the values of k, l, m, n, o in the third row are used to determine blue B1 in the new color value; the values of p, q, r, s, t in the fourth row are used to determine transparency A1 in the new color value; the values of e, j, o, t in the fifth column are used to determine the offset, i.e., offset, in each component.
3. The image display adjustment method according to claim 2, wherein the method for acquiring the color matrix M includes:
acquiring adjusted brightness and contrast parameters, and acquiring a 4 x 5 color matrix M1 based on the adjusted brightness and contrast parameters;
acquiring the adjusted saturation parameter, and acquiring a 4 x 5 color matrix M2 based on the adjusted saturation parameter;
acquiring adjusted picture color temperature parameters, and acquiring a 4 x 5 color matrix M3 based on the adjusted picture color temperature parameters;
and carrying out matrix mixing processing on the color matrix M1, the color matrix M2 and the color matrix M3 by a matrix superposition method to obtain the color matrix M.
4. The image display adjustment method according to claim 3, wherein the color matrix M1 is expressed as follows:
wherein e1 ═ j1 ═ o1 ═ 127.5 ═ 1+ B) -127.5 ═ 1-B ═ k 1; a1, m1, g1, k 1;
brightness represents the adjusted brightness value; constast represents the adjusted contrast value.
5. The image display adjustment method according to claim 3, wherein the color matrix M2 is expressed as follows:
wherein sat represents the adjusted saturation value, and r2 is 0.213 (1-sat); g2 ═ 0.715 ═ 1-sat; b2 ═ 0.072 (1-sat).
6. The image display adjustment method according to claim 3, wherein the color matrix M3 is expressed as follows:
wherein,
MAX (r3, g3, b 3); MIN (r3, g3, b 3); the picture color temperature parameters include r3, g3 and b3, and r3, g3 and b3 respectively represent adjusted R, G, B parameter values.
7. The image display adjustment method according to claim 1, further comprising, after generating the new RGBA values:
and receiving the adjustment of Gamma, acquiring the adjusted Gamma value, and performing Gamma correction on the new RGBA.
8. An image display adjustment apparatus, comprising:
the original image acquisition module is used for acquiring an input original image and acquiring an RGBA value of each pixel point in the original image;
the image adjusting module is used for performing parameter adjustment on the RGBA value of the pixel point to generate a new RGBA value; wherein the adjusted parameters include one or more of brightness, contrast, saturation, and picture color temperature;
and the new image generation module is used for generating a new image according to the new RGBA value.
9. A display device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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| CN116842117A (en) * | 2023-06-19 | 2023-10-03 | 重庆市规划和自然资源信息中心 | Geous image output method based on geotools for repairing self-intersecting |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5172224A (en) * | 1990-12-18 | 1992-12-15 | Eastman Kodak Company | Printer calibration method using electronically-decoupled color and tone scale adjustments |
| US7154507B1 (en) * | 2000-10-02 | 2006-12-26 | Nvidia Corporation | System, method and computer program product for texture shading |
| CN101046945A (en) * | 2006-03-27 | 2007-10-03 | 光宝科技股份有限公司 | Method for displaying multi-screen color temp |
| US20080285851A1 (en) * | 2007-05-14 | 2008-11-20 | Realtek Semiconductor Corp. | Color correction method and apparatus of display apparatus |
| CN101521001A (en) * | 2008-02-26 | 2009-09-02 | 瑞昱半导体股份有限公司 | Color correcting method and device of display device |
| US20100039528A1 (en) * | 2008-08-12 | 2010-02-18 | Takayuki Ogasahara | Image processing device correcting image data, image sensor and image processing method |
| CN103179409A (en) * | 2013-03-21 | 2013-06-26 | 深圳市创维群欣安防科技有限公司 | Video penetrating fog processing method and device |
| US20150130964A1 (en) * | 2013-11-12 | 2015-05-14 | Novatek Microelectronics Corp. | Automatic Color Correction Method and Color Correction Module thereof |
| CN108377373A (en) * | 2018-05-10 | 2018-08-07 | 杭州雄迈集成电路技术有限公司 | A kind of color rendition device and method pixel-based |
| CN108537782A (en) * | 2018-04-02 | 2018-09-14 | 东北大学 | A method of building images match based on contours extract with merge |
| CN109523485A (en) * | 2018-11-19 | 2019-03-26 | Oppo广东移动通信有限公司 | Image color correction method, device, storage medium and mobile terminal |
| CN109978968A (en) * | 2019-04-10 | 2019-07-05 | 广州虎牙信息科技有限公司 | Video rendering method, apparatus, equipment and the storage medium of Moving Objects |
| CN110609722A (en) * | 2019-08-09 | 2019-12-24 | 华为技术有限公司 | Dark mode display interface processing method, electronic equipment and storage medium |
| CN111127343A (en) * | 2019-12-05 | 2020-05-08 | 华侨大学 | Histogram double-control infrared image contrast enhancement method |
| CN111833417A (en) * | 2020-07-14 | 2020-10-27 | 广州探途网络技术有限公司 | Method and system for realizing black and white mode of android application program |
| CN112529757A (en) * | 2020-12-04 | 2021-03-19 | 平安科技（深圳）有限公司 | Screen information protection method and device, computer equipment and readable storage medium |
| CN112689137A (en) * | 2019-10-18 | 2021-04-20 | 华为技术有限公司 | Video signal processing method and device |
| CN112752023A (en) * | 2020-12-29 | 2021-05-04 | 深圳市天视通视觉有限公司 | Image adjusting method and device, electronic equipment and storage medium |
-
2021
- 2021-05-14 CN CN202110529746.1A patent/CN113298726A/en active Pending
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5172224A (en) * | 1990-12-18 | 1992-12-15 | Eastman Kodak Company | Printer calibration method using electronically-decoupled color and tone scale adjustments |
| US7154507B1 (en) * | 2000-10-02 | 2006-12-26 | Nvidia Corporation | System, method and computer program product for texture shading |
| CN101046945A (en) * | 2006-03-27 | 2007-10-03 | 光宝科技股份有限公司 | Method for displaying multi-screen color temp |
| US20080285851A1 (en) * | 2007-05-14 | 2008-11-20 | Realtek Semiconductor Corp. | Color correction method and apparatus of display apparatus |
| CN101521001A (en) * | 2008-02-26 | 2009-09-02 | 瑞昱半导体股份有限公司 | Color correcting method and device of display device |
| US20100039528A1 (en) * | 2008-08-12 | 2010-02-18 | Takayuki Ogasahara | Image processing device correcting image data, image sensor and image processing method |
| CN103179409A (en) * | 2013-03-21 | 2013-06-26 | 深圳市创维群欣安防科技有限公司 | Video penetrating fog processing method and device |
| US20150130964A1 (en) * | 2013-11-12 | 2015-05-14 | Novatek Microelectronics Corp. | Automatic Color Correction Method and Color Correction Module thereof |
| CN108537782A (en) * | 2018-04-02 | 2018-09-14 | 东北大学 | A method of building images match based on contours extract with merge |
| CN108377373A (en) * | 2018-05-10 | 2018-08-07 | 杭州雄迈集成电路技术有限公司 | A kind of color rendition device and method pixel-based |
| CN109523485A (en) * | 2018-11-19 | 2019-03-26 | Oppo广东移动通信有限公司 | Image color correction method, device, storage medium and mobile terminal |
| CN109978968A (en) * | 2019-04-10 | 2019-07-05 | 广州虎牙信息科技有限公司 | Video rendering method, apparatus, equipment and the storage medium of Moving Objects |
| CN110609722A (en) * | 2019-08-09 | 2019-12-24 | 华为技术有限公司 | Dark mode display interface processing method, electronic equipment and storage medium |
| CN112689137A (en) * | 2019-10-18 | 2021-04-20 | 华为技术有限公司 | Video signal processing method and device |
| CN111127343A (en) * | 2019-12-05 | 2020-05-08 | 华侨大学 | Histogram double-control infrared image contrast enhancement method |
| CN111833417A (en) * | 2020-07-14 | 2020-10-27 | 广州探途网络技术有限公司 | Method and system for realizing black and white mode of android application program |
| CN112529757A (en) * | 2020-12-04 | 2021-03-19 | 平安科技（深圳）有限公司 | Screen information protection method and device, computer equipment and readable storage medium |
| CN112752023A (en) * | 2020-12-29 | 2021-05-04 | 深圳市天视通视觉有限公司 | Image adjusting method and device, electronic equipment and storage medium |
Non-Patent Citations (9)
| Title |
|---|
| CHIN_STYLE: "Android色彩特效处理之色调、饱和度、亮度、ColorMatrix精炼详解", Retrieved from the Internet <URL:https://blog.csdn.net/weixin_41101173/article/details/80146504> * |
| HNULWT: "Android ColorMatrix 亮度矩阵 对比度矩阵 黑白矩阵", Retrieved from the Internet <URL:https://blog.csdn.net/hnulwt/article/details/44755025> * |
| NOBUGEXCEPTION: "高级UI<第十八篇>：图像处理之颜色矩阵", Retrieved from the Internet <URL:https://www.jianshu.com/p/d183b4edeb56> * |
| 何颖秋;方子涵;谢亮天;: "基于FPGA的实时图像处理与实现", 电子设计工程, no. 07 * |
| 刘雨丹;张炯;戴树岭;: "CCD摄像机图像处理仿真", 北京航空航天大学学报, no. 12 * |
| 唐佳林;张冲;郭岩锋;苏秉华;苏清朗;: "融合多颜色空间信息的彩色图像色差校正算法", 计算机科学, no. 1 * |
| 王嘉辉;吴限;李丽华;冯恩临;吴丽;: "图像RGB数值衍生的欧氏距离用于手机比色法检测石油类物质", 分析测试学报, no. 07 * |
| 陆涛;: "基于统计特征分类耦合自适应Gamma校正的图像增强算法", 电子测量与仪器学报, no. 06 * |
| 马琳;王钧慧;王宽全;张大鹏;: "基于特征图规正的虹膜图像自适应Gamma校正方法", 燕山大学学报, no. 02 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116842117A (en) * | 2023-06-19 | 2023-10-03 | 重庆市规划和自然资源信息中心 | Geous image output method based on geotools for repairing self-intersecting |
| CN116842117B (en) * | 2023-06-19 | 2024-03-12 | 重庆市规划和自然资源信息中心 | Geous image output method based on geotools for repairing self-intersecting |
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