Compressed Sensing Based on Best Wavelet Packet Basis for Image Processing

被引：3

作者：

Li, ZheTao ^{[1
,2
,3
]}

Xie, JingXiong ^{[3
,4
]}

Yu, Zuguo ^{[4
]}

Tu, DengBiao ^{[5
]}

Choi, YoungJune ^{[6
]}

机构：

[1] Xiangtan Univ, Coll Informat Engn, Xiangtan 411105, Hunan, Peoples R China

[2] Natl Univ Def Technol, Sch Comp, Changsha 410073, Hunan, Peoples R China

[3] Xiangtan Univ, Minist Educ, Key Lab Intelligent Comp & Informat Proc, Xiangtan 411105, Hunan, Peoples R China

[4] Xiangtan Univ, Sch Math & Computat Sci, Xiangtan 411105, Hunan, Peoples R China

[5] Coordinat Ctr China, Natl Comp Network Emergency Response Tech Team, Beijing 100029, Peoples R China

[6] Ajou Univ, Dept Informat & Comp Engn, Suwon 443749, South Korea

来源：

JOURNAL OF COMPUTERS | 2013年 / 8卷 / 08期

基金：

中国国家自然科学基金;

关键词：

compressed sensing; image processing; wavelet packet; matching pursuit algorithms;

D O I：

10.4304/jcp.8.8.1947-1950

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, an algorithm named best wavelet packet tree decomposition (BWPTD) is proposed for image compression. In order to obtain better sparse representation of image, best wavelet packet basis is introduced to decompose image signal in the algorithm. Experimental results show that BWPTD is better than single layer wavelet decompression (SLWD) and original compressed sensing (OCS) in peak signal to noise ratio (PSNR) by 2db and 8db, respectively. In addition, the reconstruction time of BWPTD is only half as that of SLWD and OCS.

引用

页码：1947 / 1950

页数：4

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