Gray balance adjusting method and device and computer readable storage medium
An adjustment method and gray balance technology, applied in the direction of image communication, electrical components, etc., can solve the problems of "rainbow phenomenon" and complex operation of gray balance adjustment, etc., and achieve the effect of simple operation and strong robustness
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Embodiment 1
[0062] Embodiment 1 of the present invention provides a gray balance adjustment method, such as figure 2 As shown, the method includes:
[0063] S201. Generate actual curve data.
[0064] The actual curve data is obtained by scanning the m color blocks of each color map in the calibration map to obtain the density value or lab value of each color block by using a colorimeter or a color separation photometer, and at the same time for each color of each color Blocks are numbered by size of density value or lab value. m is 21 in this embodiment.
[0065] Preferably, when the colorimeter or the color separation photometry scan obtains the density value, the density value of each color block is the actual curve data, and when the scan obtains the lab value, the lab value of the color block and the lab value of the white point Value difference processing to get the actual curve data of the color block.
[0066] In this embodiment, the calibration map includes a first color map,...
Embodiment 2
[0091] Embodiment 2 of the present invention provides a gray balance adjustment device 3, such as image 3 As shown, the gray balance adjustment device 3 includes:
[0092] An acquisition module 31, configured to acquire a three-color mixed image of cyan, magenta, and yellow according to the initial calibration curve;
[0093] A judging module 32, configured to judge whether the three-color mixed image of cyan, magenta, and yellow is in a gray balance state;
[0094] An adjustment processing module 33, configured to adjust the overall percentages of the three-color channels of cyan, magenta, and yellow respectively if the mixed image of cyan, magenta, and yellow is not in a gray balance state, according to the cyan, magenta, and yellow three-color channels. The adjustment amplitude values of the respective overall percentages of the red and yellow channels re-fit and smooth the initial reference curve data to obtain new reference curve data;
[0095] A generating module 34...
Embodiment 3
[0106] Embodiment 3 of the present invention provides a computer-readable storage medium, the computer-readable storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the following steps :
[0107] S1. Obtain a three-color mixed image of cyan, magenta and yellow according to the initial calibration curve;
[0108] S2. Judging whether the cyan, magenta, and yellow three-color mixed image is in a gray balance state;
[0109] S3. If the cyan, magenta, and yellow three-color mixed image is not in a gray balance state, adjust the overall percentages of the cyan, magenta, and yellow three-color channels respectively, according to the respective cyan, magenta, and yellow channels. The adjustment range value of the overall percentage of the initial reference curve data is re-fitted and smoothed to obtain a new reference curve data;
[0110] S4. Generate a second calibration curve according to the new reference ...
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