Presentation 2003/12/12
A Multi-scan Approach for Lossless Image Compression
Haijiang TANG, Sei-ichiro KAMATA, Masa-aki KOBAYASHI,
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Abstract(in English) This paper presents an efficient lossless compression approach for gray scale images. We divide the input image to blocks of pixels and use different scanning methods for compression. An adaptive linear prediction model is applied corresponding to the statistics of neighbor pixels obtained from each scanning. The prediction coefficients are updated during the scanning to optimize the coding accuracy. From the models built by different scanning, we select the one that minimizes the prediction error for coding. Experiment results show that our method out-performed JPEG-LS 4-5% in compression efficiency.
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Keyword(in English) lossless compression / prediction / multi-scan
Paper # CS2003-154,IE2003-144
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Committee IE
Conference Date 2003/12/12(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Multi-scan Approach for Lossless Image Compression
Sub Title (in English)
Keyword(1) lossless compression
Keyword(2) prediction
Keyword(3) multi-scan
1st Author's Name Haijiang TANG
1st Author's Affiliation Graduate School of Information, Production and Systems, Waseda University()
2nd Author's Name Sei-ichiro KAMATA
2nd Author's Affiliation Graduate School of Information, Production and Systems, Waseda University
3rd Author's Name Masa-aki KOBAYASHI
3rd Author's Affiliation Panasonic Communications Co., Ltd.
Date 2003/12/12
Paper # CS2003-154,IE2003-144
Volume (vol) vol.103
Number (no) 514
Page pp.pp.-
#Pages 6
Date of Issue