Presentation 2000/2/3
A Near-Lossless Image Compression by a Noise Measure Based Region Segmentation
Michiharu Niimi, Hideki Noda, Eiji Kawaguchi,
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Abstract(in English) This paper proposes a near-lossless image compression scheme which is based on both the replacement of random noise with a predictable pattern and the lossless binary image compression of bit-planes. Random noise on the binary image prevents from achieving at high compression ratio. A solution is to replace the random noise with a predictable pattern. Squared-local regions like random noise are replaced with a checker board pattern. Random noise on the upper bit-planes is stored. Random noise on the lower bit-planes is not stored but generated by pseudo-random number in decoding because the lower bit-planes have no significant information.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) near-lossless image compression / noise measure / bit-plane decomposition
Paper # EID99-126, IE99-122
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Conference Date 2000/2/3(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Near-Lossless Image Compression by a Noise Measure Based Region Segmentation
Sub Title (in English)
Keyword(1) near-lossless image compression
Keyword(2) noise measure
Keyword(3) bit-plane decomposition
1st Author's Name Michiharu Niimi
1st Author's Affiliation Faculty of Engineering, Kyushu Institute of Technology()
2nd Author's Name Hideki Noda
2nd Author's Affiliation Faculty of Engineering, Kyushu Institute of Technology
3rd Author's Name Eiji Kawaguchi
3rd Author's Affiliation Faculty of Engineering, Kyushu Institute of Technology
Date 2000/2/3
Paper # EID99-126, IE99-122
Volume (vol) vol.99
Number (no) 608
Page pp.pp.-
#Pages 6
Date of Issue