CLC number: TN919.81
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
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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.
@article{title="A high fidelity VQ coding algorithm with region adaptive subbanding",
author="YANG Zhong-qi, BAI Zhi-can, LI Dong-mei, YANG Chang-sheng",
journal="Journal of Zhejiang University Science A",
volume="6",
number="1",
pages="43-48",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.A0043"
}
%0 Journal Article
%T A high fidelity VQ coding algorithm with region adaptive subbanding
%A YANG Zhong-qi
%A BAI Zhi-can
%A LI Dong-mei
%A YANG Chang-sheng
%J Journal of Zhejiang University SCIENCE A
%V 6
%N 1
%P 43-48
%@ 1673-565X
%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.A0043
TY - JOUR
T1 - A high fidelity VQ coding algorithm with region adaptive subbanding
A1 - YANG Zhong-qi
A1 - BAI Zhi-can
A1 - LI Dong-mei
A1 - YANG Chang-sheng
J0 - Journal of Zhejiang University Science A
VL - 6
IS - 1
SP - 43
EP - 48
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2005.A0043
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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