A fast image recovery using compressive sensing technique with block based orthogonal matching pursuit
by Vorapoj Patanavijit; Parichat Sermwuthisarn; Supatana Auethavekiat
Title: | A fast image recovery using compressive sensing technique with block based orthogonal matching pursuit |
Author(s): | Vorapoj Patanavijit
Parichat Sermwuthisarn Supatana Auethavekiat |
Issued date: | 2009-12 |
Citation: | Proceedings of IEEE International Symposium on Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2009), Kanazawa, Japan, (December 2009), 212-215 (IEEE Xplore) |
Abstract: |
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. |
Resource type: | Proceeding Paper |
Extent: | 4 pages |
Type: | Text |
File type: | application/pdf |
Language: | eng |
URI: | http://repository.au.edu/handle/6623004553/17927 |
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