Wavelet transform coding using variable blocksize vector quantization with optimal quadtree segmentation

被引：0

作者：

Wang, CY ^{[1
]}

Liao, SJ ^{[1
]}

Chang, LW ^{[1
]}

机构：

[1] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 300, Taiwan

来源：

IEEE TENCON'97 - IEEE REGIONAL 10 ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1 AND 2: SPEECH AND IMAGE TECHNOLOGIES FOR COMPUTING AND TELECOMMUNICATIONS | 1997年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Wavelet transform has been applied in image and video compression for the last decade. It decomposes the image into several frequency subbands. It is profitable to combine the variable blocksize vector quantization with wavelet transform coding since there are lots of zeros in the higher frequency subbands. In this paper, we propose an image compression method by applying the variable blocksize vector quantization with optimal quadtree segmentation to the wavelet transform domain of an image. From our simulation results, we can see that the reconstructed images do not show visual difference from the original image at high compression ratio.

引用

页码：715 / 718

页数：4

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