JZUS - Journal of Zhejiang University SCIENCE

Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.1 P.43-48

http://doi.org/10.1631/jzus.2005.A0043

A high fidelity VQ coding algorithm with region adaptive subbanding

Author(s): Zhong-qi Yang, Zhi-can Bai, Dong-mei Li, Chang-sheng Yang
Affiliation(s): . Department of Computer, Zhejiang University, Hangzhou 310027, China
Corresponding email(s): csyang@hzcnc.com
Key Words: Image compression, Subband, Vector quantization (VQ)

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YANG Zhong-qi, BAI Zhi-can, LI Dong-mei, YANG Chang-sheng. A high fidelity VQ coding algorithm with region adaptive subbanding[J]. Journal of Zhejiang University Science A, 2005, 6(1): 43-48.

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year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.A0043"
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%DOI 10.1631/jzus.2005.A0043

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T1 - A high fidelity VQ coding algorithm with region adaptive subbanding
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A1 - BAI Zhi-can
A1 - LI Dong-mei
A1 - YANG Chang-sheng
J0 - Journal of Zhejiang University Science A
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SP - 43
EP - 48
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2005.A0043

Abstract
Chinese Summary
Academic Network
Reviewer Comment

Abstract: Image subbands can be obtained by using filterbank. Traditional compression method uses direct entropy coding for each subband. After studying the energy distribution in image subbands, we proposed a vector quantization (VQ) coding algorithm to image subband. In the algorithm, vector quantizers were adaptively designed for high-frequency bands in an image. In particular, the edges of the image were examined and fewer bits were assigned to high-energy regions. The experimental result showed that the algorithm had higher SNR and higher compression ratio than possible by traditional subband coding, JPEG and JPEG 2000.

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