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author:

Su, L. (Su, L..) [1] | Chen, J. (Chen, J..) [2] | Fu, X. (Fu, X..) [3]

Indexed by:

Scopus

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. © 2012 IEEE.

Keyword:

Compressed Sensing; Image Reconstruction; SL0 Algorithm; Wavelet Transformation

Community:

  • [ 1 ] [Su, L.]Mathematics and Computer Science College, Fujian Normal University, Fuzhou, China
  • [ 2 ] [Chen, J.]Physics and Information Engineering College, Fuzhou University, Fuzhou, China
  • [ 3 ] [Fu, X.]Physics and Information Engineering College, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Su, L.]Mathematics and Computer Science College, Fujian Normal University, Fuzhou, China

Email:

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Source :

2012 International Conference on Systems and Informatics, ICSAI 2012

Year: 2012

Page: 1942-1946

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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