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Proceedings Paper

Color image coding using image-adaptive quantization
Author(s): Hanqing Zhang; Daoyin Yu; Zhanhua Huang; Hongbo Xie
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Paper Abstract

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.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323663
Show Author Affiliations
Hanqing Zhang, Tianjin Univ. (China)
Daoyin Yu, Tianjin Univ. (China)
Zhanhua Huang, Tianjin Univ. (China)
Hongbo Xie, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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