Oriented wavelet transform on a quincunx pyramid for image compression

被引:0
|
作者
Chappelier, K [1 ]
Guillemot, C [1 ]
机构
[1] Univ Rennes 1, IRISA, F-35042 Rennes, France
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
This paper presents a new image coding technique based on oriented 1D multiscale decompositions on a quincunx sampling grid. A transform obtained by adapting the lifting steps of a ID wavelet transform along a local orientation is described. A quad-tree structure is used to efficiently code the orientation map, and optimized in the ratedistortion sense. A gain of up to 1.3 dB over the separable wavelet transform is observed for a set of images, with the rate estimated from the stationary entropy of the subbands.
引用
收藏
页码:625 / 628
页数:4
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