A Fast Image Recovery Using Compressive Sensing Technique with Block Based Orthogonal Matching Pursuit

被引：14

作者：

Sermwuthisarn, Parichat ^{[1
]}

Auethavekiat, Supatana ^{[1
]}

Patanavijit, Vorapoj ^{[2
]}

机构：

[1] Chulalongkorn Univ, Bangkok 10330, Thailand

[2] Assumption Univ, Bangkok 10240, Thailand

来源：

2009 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS 2009) | 2009年

关键词：

D O I：

10.1109/ISPACS.2009.5383863

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Traditionally, the problems of applying Orthogonal Matching Pursuit (OMP) to large images are its high computing time and its requirement for a large matrix. In this paper, we propose a fast image recovery algorithm by dividing the image into block of nxn pixels and applying OMP to each nxn block instead of the entire image. The key idea is that small matrix requires less computing time and less memory. In the experiment, the block based OMP was applied to three standard test images: Lena, Mandrill and Pirate. Compared to standard OMP, block based OMP required less computing time while giving comparable PSNR.

引用

页码：212 / +

页数：2

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