Presentation 2007-10-18
Computational Complexity Reduction for Allpass-based Image Coding
Kosuke OHNO, Xi ZHANG,
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Abstract(in English) To obtain better coding performance in wavelet-based image compression, it is necessary for wavelet filters to satisfy the orthogonality condition and linear phase characteristic. To satisfy these conditions, a class of IIR wavelet filters have been proposed by using allpass filters, and thus better coding performance have been obtained for lossy and lossless image coding. In this papar, we focus on the computational complexity required in the allpass-based image coding, and reduce it by replacing multipliers with shifters and/or adders. We use several natural images to examine its lossy and lossless coding performance, and then compare it with JPEG 2000.
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Keyword(in English) allpass filter / wavelet transform / lossless coding / lossy coding
Paper # CAS2007-40,NLP2007-68
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Conference Information
Committee NLP
Conference Date 2007/10/11(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Computational Complexity Reduction for Allpass-based Image Coding
Sub Title (in English)
Keyword(1) allpass filter
Keyword(2) wavelet transform
Keyword(3) lossless coding
Keyword(4) lossy coding
1st Author's Name Kosuke OHNO
1st Author's Affiliation The University of Electro-Communications()
2nd Author's Name Xi ZHANG
2nd Author's Affiliation The University of Electro-Communications
Date 2007-10-18
Paper # CAS2007-40,NLP2007-68
Volume (vol) vol.107
Number (no) 266
Page pp.pp.-
#Pages 6
Date of Issue