• DocumentCode
    3419336
  • Title

    A new approach to image sparse decomposition based on MP

  • Author

    Yang, Yingyun ; Shi, Dongxin ; Sun, Ke ; Zhang, Qin

  • Author_Institution
    Dept. of Telev. Eng., Commun. Univ. of China, Beijing
  • fYear
    2009
  • fDate
    March 30 2009-April 2 2009
  • Firstpage
    65
  • Lastpage
    68
  • Abstract
    One of main problems in image sparse decomposition is the contradiction between the quality of the image and the algorithm´s speed. To overcome this key problem, a new fast algorithm is presented. At first the number of atoms is decreased by making use of the atom energy property; then this algorithm converts very time-consuming inner product calculations in sparse decomposition into correlations that are fast done by FFT. Experimental results show that the performance of the proposed algorithm is effective.
  • Keywords
    fast Fourier transforms; image matching; atom energy property; fast Fourier transform; image sparse decomposition; inner product calculations; matching pursuit; Dictionaries; Genetic algorithms; Image coding; Image processing; Image quality; Matching pursuit algorithms; Pursuit algorithms; Signal processing; Sun; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Image Processing, 2009. CIIP '09. IEEE Symposium on
  • Conference_Location
    Nashville, TN
  • Print_ISBN
    978-1-4244-2760-4
  • Type

    conf

  • DOI
    10.1109/CIIP.2009.4937882
  • Filename
    4937882