• DocumentCode
    3328034
  • Title

    Image decomposition using deconvolution

  • Author

    Cho, Sunghyun ; Lee, Hyunjun ; Lee, Seungyong

  • Author_Institution
    POSTECH, Pohang, South Korea
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1965
  • Lastpage
    1968
  • Abstract
    We present a novel method for decomposing an image into base and texture layers. Our method is simple and effective, and can handle textures of high contrast, which traditional image filtering techniques may not handle efficiently. The method first removes high-frequency texture information using low-pass filtering, and then restores structural information of the image using a deconvolution operation. Experimental results demonstrate the effectiveness of our method.
  • Keywords
    deconvolution; image texture; low-pass filters; deconvolution operation; high-frequency texture information; image decomposition; image filtering techniques; low-pass filtering; Deconvolution; Graphics; Image decomposition; Image restoration; Minimization; Pixel; TV; image decomposition; image filtering; texture layer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651153
  • Filename
    5651153