• 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