• DocumentCode
    2545149
  • Title

    Image Restoration with Morphological Erosion and Exemplar-Based Texture Synthesis

  • Author

    Guo, Hao ; An, Jubai

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Image restoration provides a means to reconstruct damaged regions of an image. The paper presents a new restoration algorithm, which implements the filling of damaged region with morphological erosion, and propagates structure/texture features of the known region into the damaged region with exemplar-based texture synthesis. The method can retain the continuity of image isophotes between the known region and the restored damaged region, and output a complete, natural-looking image. Through comparative experiments with some existing methods, we demonstrate the effectiveness of the algorithm in removing large objects as well as thin scratches.
  • Keywords
    erosion; feature extraction; image restoration; image texture; damaged region image reconstruction; exemplar-based texture synthesis; image isophotes; image restoration; morphological erosion; natural-looking image; structure feature; Filling; Image reconstruction; Image restoration; Manuals; Pixel; Reliability; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5600130
  • Filename
    5600130