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