Wide-dynamic-range image compression method
A technology of wide dynamic image and compression method, which is applied in the direction of image communication, digital video signal modification, electrical components, etc., can solve the problems of losing image texture or brightness information, unable to complete wide dynamic image reconstruction, etc., and achieves short operation time and improved The effect of high quality and high compression ratio
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Embodiment 1
[0015] Embodiment 1: a kind of wide dynamic image compression method of this example, as figure 1 , the steps are:
[0016] a. Divide a piece of original image data with a resolution of 1920×1080 and a bit depth of 12 bits into 960×540 subregions with adjacent 2×2 pixels as a subregion;
[0017] b. Calculate the mean value of the image pixels in each 2×2 area, and intercept the upper 7 bits of the mean value as the brightness information of the original data image, and obtain the image brightness information data with a bit depth of 7 bits and a data number of 960×540;
[0018] c. In each 2×2 region, multiply the original data by the scaling factor s=2 2 Finally, calculate the ratio of the obtained value to the high 7-bit data of the pixel mean value obtained in step b, and perform rounding operation on the ratio to obtain image texture information with a depth of 7 bits;
[0019] d. Utilize common compression algorithms, such as standard JPEG compression coding, to comp...
Embodiment 2
[0020] Embodiment 2: a kind of wide dynamic image compression method of this example, as figure 1 , the steps are:
[0021] a. A piece of original image data with a resolution of 2048×1536 and a bit depth of 14 bits is divided into 512×512 sub-regions with adjacent 4×3 pixels as a sub-region;
[0022] b. Calculate the mean value of the image pixels in each 4×3 area, and intercept the upper 8 bits of the mean value as the brightness information of the original data image, and obtain the image brightness information data with a bit depth of 8 bits and a data number of 512×512;
[0023] c. In each 4×3 region, multiply the original data by the scaling factor s=2 2 Finally, calculate the ratio of the obtained value to the high 8-bit data of the pixel mean value obtained in step b, and perform rounding operation on the ratio to obtain image texture information with a depth of 8 bits;
[0024] d. Utilize common compression algorithms, such as standard JPEG compression coding, t...
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