RATE-DISTORTION IMPROVEMENT OF DIRECTIONAL WAVELETS BY MEGABLOCKING

被引:0
作者
Maleki, Arian [1 ]
Rajaei, Boshra [2 ]
Pourreza, Hamid R. [2 ]
机构
[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
[2] Ferdowsi Univ Masshad, Dept Comp Sci, Mashhad, Iran
来源
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年
关键词
Rate-distortion; quadtree; wavelet transforms; image coding; directional transforms; TRANSFORM;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The inefficiency of separable wavelets in representing smooth edges has motivated the researchers to pursue new two dimensional transformations. One of the successful transformations in image compression is the directional wavelets. Although researchers have empirically shown that the directional wavelets outperform the separable wavelets in compression, there is no theoretical analysis to demonstrate this phenomena, specially when the directional wavelets are combined with partitioning algorithms such as quadtree. In this paper, we calculate the rate-distortion performance of the directional wavelets on a class of images. Our analysis shows that the quadtree partitioning deteriorates the performance. Therefore we propose another scheme, called megablocking. Our theoretical and simulation results confirm that megablocking outperforms the quadtree approach.
引用
收藏
页码:801 / 804
页数:4
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