25 September 1998 Color image coding using image-adaptive quantization
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Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323663
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China
Using JPEG standard, color still images can be compressed in high ratios while good quality can be guaranteed. The framework of the JPEG is specified, but the recommended quantization table and the Huffman table can be pruned according to the image's characteristic. In this paper, we put forward an adaptive-quantization approach which is compatible for the baseline JPEG. In our approach, we statistically calculate the image's average probability distributivity, which used as the threshold for the quantization. The quanti-table recommended by JPEG can then be justified with the characteristic of images and the average code-rate is noticeably dropped.
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Hanqing Zhang, Daoyin Yu, Zhanhua Huang, Hongbo Xie, "Color image coding using image-adaptive quantization", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323663; https://doi.org/10.1117/12.323663

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