• DocumentCode
    1651425
  • Title

    A Method of Super-resolution Image Restoration Based on Separation

  • Author

    Jian, Zhang ; Xiaoping, Fan ; Cailun, Huang

  • Author_Institution
    Hunan Univ. of Sci. & Technol., Xiangtan
  • fYear
    2007
  • Firstpage
    275
  • Lastpage
    277
  • Abstract
    According to the optical image, the layered model for image degradation is established on the basis of imaging mechanism. Some key factors (diffraction effect and down-sample etc.) resulting in the low resolution are pointed out. A method of super-resolution image restoration based on separation is proposed and the algorithm of ally-template is introduced. This separation method reduces the complexity of calculation. The experiment proves the effectiveness of the proposed algorithm.
  • Keywords
    image resolution; image restoration; ally-template algorithm; image degradation; superresolution image restoration; Application software; Degradation; Equations; Frequency estimation; High-resolution imaging; Image quality; Image resolution; Image restoration; Laboratories; Optical imaging; Ally-template; Down-sample; Image processing; POCS; Separate method; Super-resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2007. CCC 2007. Chinese
  • Conference_Location
    Hunan
  • Print_ISBN
    978-7-81124-055-9
  • Electronic_ISBN
    978-7-900719-22-5
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.4347342
  • Filename
    4347342