Presentation 2003/10/16
Coefficient Based Classification in Subband Image Coding
Yuichi ISHIWATA, Kohei OTAKE,
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Abstract(in English) Subband coding is one the efficient coding methods of image information, and is adopted as the JPEG2000 standard. It is aimed to obtain a subband division gain by dividing an image into several subbands using band separation filters such as QMF filters. As a method to get further coding efficiency, blocks of coefficients in each subbband, are classified into two or more classes to get a classification gain, and a number of classification methods have been reported. In this paper, in order to improve further classification gain, a coefficient-based classification method is proposed. Specifically, in the proposed method feature metrics of each coefficient are predicted by using only the coded data, and coefficient-based classification is proceeded. Therefore, it can achieves both classification gain improvement due to close classification, and side information reduction due to no need of classification map transmission. Performance comparisions are done between coefficient-based and block-based classification, and the effectiveness of the proposed method is clarified.
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Keyword(in English) Classification / QMF / Block / Coefficient
Paper # DSP2003-121,ICD2003-119,IE2003-81
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Conference Date 2003/10/16(1days)
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Registration To Integrated Circuits and Devices (ICD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Coefficient Based Classification in Subband Image Coding
Sub Title (in English)
Keyword(1) Classification
Keyword(2) QMF
Keyword(3) Block
Keyword(4) Coefficient
1st Author's Name Yuichi ISHIWATA
1st Author's Affiliation Faculty of Engineering, Hosei University()
2nd Author's Name Kohei OTAKE
2nd Author's Affiliation Faculty of Engineering, Hosei University
Date 2003/10/16
Paper # DSP2003-121,ICD2003-119,IE2003-81
Volume (vol) vol.103
Number (no) 381
Page pp.pp.-
#Pages 6
Date of Issue