DocumentCode :
2395033
Title :
Images reconstruction method using SL0 algorithm for compressed sensing based on single layer wavelet transformation
Author :
Su, Lichao ; Chen, Jian ; Fu, Xiaozhen
Author_Institution :
Math. & Comput. Sci. Coll., Fujian Normal Univ., Fuzhou, China
fYear :
2012
fDate :
19-20 May 2012
Firstpage :
1942
Lastpage :
1946
Abstract :
The problem of image reconstruction based on compressed sensing using single layer wavelet as a sparse transformation is discussed in this paper. An image reconstruction method based on Smoothed L0 (SL0) algorithm is presented, in the view of increasing the quality of image reconstruction. The simulating results show that, comparing with primitive orthogonal matching pursuit (OMP) algorithm, this reconstruction method can significantly improve its performances, including image reconstruction quality and robustness, as well as executing speed.
Keywords :
compressed sensing; image reconstruction; sparse matrices; wavelet transforms; SL0 algorithm; compressed sensing; executing speed improvement; image reconstruction quality improvement; performance improvement; robustness improvement; single-layer wavelet transformation; smoothed L0 algorithm; sparse transformation; Compressed sensing; Equations; Image reconstruction; Matching pursuit algorithms; Noise; Sparse matrices; Wavelet transforms; Compressed Sensing; Image Reconstruction; SL0 Algorithm; Wavelet Transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems and Informatics (ICSAI), 2012 International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4673-0198-5
Type :
conf
DOI :
10.1109/ICSAI.2012.6223429
Filename :
6223429
Link To Document :
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