• DocumentCode
    1945422
  • Title

    Digital Image Inpainting based on Markov Random Field

  • Author

    Yasuda, M. ; Ohkubo, J. ; Tanaka, K.

  • Author_Institution
    Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai
  • Volume
    2
  • fYear
    2005
  • fDate
    28-30 Nov. 2005
  • Firstpage
    747
  • Lastpage
    752
  • Abstract
    Digital image inpainting means reconstruction of small damaged portions of images. In the present paper, we propose a novel algorithm for digital image inpainting based on the Markov random field model. The proposed algorithm requires only specifying damaged regions to be inpainted, and works automatically, i.e., it does not require any user intervention. In addition, our method is very simple to be implemented and fast
  • Keywords
    Markov processes; image reconstruction; Markov random field; digital image inpainting; image reconstruction; user intervention; Belief propagation; Digital filters; Digital images; Image processing; Image reconstruction; Markov random fields; Nearest neighbor searches; Pixel; Simulated annealing; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    0-7695-2504-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2005.1631558
  • Filename
    1631558
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1945422