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A wavelet image coding algorithm based on human visual system characteristics

  • China University of Geosciences, Wuhan

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, a novel wavelet image coding algorithm based on human visual system characteristics is proposed. After dividing the original image into sub-blocks, including smooth block, edge block and texture block, different perceptual weights and compression algorithms are applied to each sub-block. Optimal coding of the whole image is achieved by choosing perceptual weights and compression algorithms according to the human visual system characteristics of each sub-block. An innovated image coding process, in which different signal transforms are combined together to provide an efficient and effective image representation is put forward here. Compared with traditional single wavelet image coding algorithm, substantially improvements of visual quality of reconstructed image and coding performance speed are shown in experimental results.

源语言英语
主期刊名Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
113-117
页数5
DOI
出版状态已出版 - 2008
活动2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR - Hong Kong, 中国
期限: 30 8月 200831 8月 2008

出版系列

姓名Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
1

会议

会议2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
国家/地区中国
Hong Kong
时期30/08/0831/08/08

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