Presentation 2010-03-15
The optimization of reference pixel arrangement in the lossless coding for HDTV image
Yuya YAMAGUCHI, Takashi OTSUKI, Ken-ichi IWATA, Shuichi ITOH,
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Abstract(in English) Lossless image compression is needed in the areas of medical imaging, high-definition image analysis and archives for art. In this paper, we propose the optimization method of reference pixel arrangement in the lossless coding for HDTV still image. In our method, an image is divided into small blocks and classified into some classes each of which corresponds to one MMSE linear predictor. After the fast optimization of block classification with a small number of reference pixels, we optimize the number and the arrangement of reference pixels based on variable selection technique which uses F-statistic in multiple linear regression analysis. As a result of experiments, it is confirmed that our method achieves higher compression ratio and faster processing speed, than conventional one.
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Keyword(in English) high-definition television (HDTV) / lossless image compression / linear predictors / classified adaptive prediction / variable selection
Paper # IE2009-195
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Committee IE
Conference Date 2010/3/8(1days)
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Paper Information
Registration To Image Engineering (IE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The optimization of reference pixel arrangement in the lossless coding for HDTV image
Sub Title (in English)
Keyword(1) high-definition television (HDTV)
Keyword(2) lossless image compression
Keyword(3) linear predictors
Keyword(4) classified adaptive prediction
Keyword(5) variable selection
1st Author's Name Yuya YAMAGUCHI
1st Author's Affiliation Graduate School of Science and Engineering, Yamagata University()
2nd Author's Name Takashi OTSUKI
2nd Author's Affiliation Graduate School of Science and Engineering, Yamagata University
3rd Author's Name Ken-ichi IWATA
3rd Author's Affiliation Graduate School of Engineering, University of Fukui
4th Author's Name Shuichi ITOH
4th Author's Affiliation The University of Electro-Communications
Date 2010-03-15
Paper # IE2009-195
Volume (vol) vol.109
Number (no) 469
Page pp.pp.-
#Pages 6
Date of Issue