• DocumentCode
    2382910
  • Title

    Research on image processing with compressed sensing algorithm: Base on the improved layered discrete cosine transform

  • Author

    Baoju Zhang ; Xiaohui Yin ; Wei Wang ; Qing Lei

  • Author_Institution
    Dept. Coll. of Phys. & Electron. Inf., Tianjin Normal Univ., Tianjin, China
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    6357
  • Lastpage
    6361
  • Abstract
    A compressed sensing algorithm based on improved layered discrete cosine transform (DCT) was proposed, which only measured the high-pass coefficients of the other layers but preserving the top layer coefficients. For the reconstruction, high-pass coefficients could be recovered by the measurements. Then the image could be reconstructed by the inverse DCT transform. Simulation results demonstrated that the proposed algorithm improved the quality of the recovered image significantly. For the same compression ratio, the peak signal to noise ratio of the proposed algorithm is improved about 2~4 dB.
  • Keywords
    compressed sensing; discrete cosine transforms; image reconstruction; inverse transforms; compressed sensing algorithm; compression ratio; high-pass coefficients; image processing; image reconstruction; improved layered discrete cosine transform; inverse DCT transform; peak signal to noise ratio; top layer coefficients; Compressed sensing; Discrete cosine transforms; Image coding; Image reconstruction; Matching pursuit algorithms; Signal processing algorithms; compressed sensing; image coding; image processing; improved layered-DCT;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6364661
  • Filename
    6364661