• DocumentCode
    2764009
  • Title

    New representation of TV regularization for super-resolution

  • Author

    Fazli, Saeid ; Bouzari, Hamed ; Pour, Hamed Moradi

  • Author_Institution
    Electr. Eng. Dept., Zanjan Univ., Zanjan, Iran
  • fYear
    2009
  • fDate
    17-19 March 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Total Variation (TV) Regularization acts like an anisotropic diffusion while in smooth areas it has isotropic behavior, which makes it very useful for recovering edges in images and at the same time having no effect on smooth areas but it suffers from high non-linearity. This paper presents a new method to handle this problem. The proposed method for Super-Resolution and image Inpainting is based on TV regularization. Experimental results show the effectiveness and high performance of the method.
  • Keywords
    computer vision; image resolution; anisotropic diffusion; image inpainting; isotropic behavior; super-resolution; total variation regularization; Gold; Image resolution; Image restoration; Manganese; Pixel; Signal resolution; TV; image inpainting; super-resolution; total variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    GCC Conference & Exhibition, 2009 5th IEEE
  • Conference_Location
    Kuwait City
  • Print_ISBN
    978-1-4244-3885-3
  • Type

    conf

  • DOI
    10.1109/IEEEGCC.2009.5734291
  • Filename
    5734291
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2764009