A multi-scan adaptive linear prediction approach for lossless image compression

Haijiang Tang*, Sei Ichiro Kamata, Masa Aki Kobayashi

*この研究の対応する著者

研究成果: Conference contribution

抄録

This paper presents a block based lossless compression approach for gray scale images. Multiple scanning methods are applied to each block, and a newly proposed adaptive linear prediction is performed. There are different prediction residuals obtained corresponding to different context based on multiple scanning. We choose the best residual for coding. That is, rather than relying any single scanning, our approach is to select a scanning produces the best result on each black. The prediction coefficients are updated during the scanning to optimize the coding accuracy. Experiment results show that our method out-performed JPEG-LS 4-5% in compression efficiency.

本文言語English
ホスト出版物のタイトル2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
ページ3004-3009
ページ数6
DOI
出版ステータスPublished - 2004 12 1
イベント2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
継続期間: 2004 10 102004 10 13

出版物シリーズ

名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
3
ISSN(印刷版)1062-922X

Conference

Conference2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
国/地域Netherlands
CityThe Hague
Period04/10/1004/10/13

ASJC Scopus subject areas

  • 工学(全般)

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