Color image color constant method based on retina vision mechanism
A visual mechanism, color image technology, applied in the field of image processing, can solve the problem of inaccurate display of color-shifted light sources
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specific Embodiment approach 1
[0092] Specific implementation mode 1—Using the international common color constancy algorithm to test the database test results
[0093] Method: The internationally common color constancy image database (http: / / www.cs.sfu.ca / ~colour / data) was used to test and evaluate the color constancy method of color images based on retinal vision mechanism in the present invention. Using the 30 different color shift scenes provided by the database, each color shift scene includes 10 color shift images illuminated by different light sources and a standard image without color shift. Use the model method for each color shift image, and process it according to steps 1 to 9 of the detailed technical plan, and compare the deviation degree of the processed image without color shift with the standard image in the following formula. The smaller the value, the better the color recovery the better.
[0094] D = ( r ...
specific Embodiment approach 2
[0104] Specific implementation mode 2 - color image color enhancement effect test of SANRF model
[0105] Method: It is verified through experiments that the SANRF model of the present invention can not only realize color constancy, but also realize image enhancement at the same time. The same overexposure and underexposure images are processed by grayscale world, whiteboard algorithm and the SANRF model of the present invention respectively, and the internationally accepted sRGB space quantification index CEF is used to quantify the enhancement effect (CEF>1 shows that the color image is enhanced, The larger the value, the better the effect; CEF<1 means that the image color quality is degraded), and Table 2 is obtained. It can be seen from Table 2 that the SANRF model of the present invention not only realizes color constancy, but also realizes color enhancement and improves the color image quality.
[0106] Table 2. Color enhancement results for overexposed and underexposed...
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