• DocumentCode
    641909
  • Title

    Super-resolution image reconstruction algorithm based on double sparse representation

  • Author

    Wang Huan ; Sun Jinping

  • Author_Institution
    Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2013
  • fDate
    14-16 April 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Aiming at the current requirements of image reconstruction in the actual applications, by studying the super-resolution image reconstruction and the theory of sparse representation, this paper proposes a super-resolution image reconstruction algorithm based on double sparse representation. This paper also makes some comparative experiments with the algorithm based on single sparse representation. The experiment results show that the reconstruction results of our algorithm are better than the results of super-resolution image reconstruction algorithm based on single sparse presentation.
  • Keywords
    image reconstruction; image representation; image resolution; comparative experiments; double sparse representation; single sparse representation; sparse representation theory; super-resolution image reconstruction algorithm; dictionary learning; sparse representation; super-resolution image reconstruction; training samples;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Radar Conference 2013, IET International
  • Conference_Location
    Xi´an
  • Electronic_ISBN
    978-1-84919-603-1
  • Type

    conf

  • DOI
    10.1049/cp.2013.0497
  • Filename
    6624661