• DocumentCode
    2605189
  • Title

    Object Removal By Cross Isophotes Exemplar-based Inpainting

  • Author

    Wu, Jiying ; Ruan, Qiuqi

  • Author_Institution
    Inst. of Inf. Sci., Beijing Jiaotong Univ.
  • Volume
    3
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    810
  • Lastpage
    813
  • Abstract
    Exemplar-based inpainting algorithm is a new model used for large region removal. It combines the advantages of both inpainting and texture synthesis. The crucial part of this model is data term which is used to preserve linear structure. In this paper, basing on anisotropic diffusion, deeper mathematical analysis of along isophotes exemplar-based inpainting (AIEI) is given, and it is also proved the data term is the strength of isophotes. A novel cross isophotes exemplar-based inpainting (CIEI) model is proposed, which determines the data term cross the isophotes. Data term in CIEI considers the extent of edge, so CIEI has better linear structure preserving property, and it can fill the target region of natural scene more plausibly. Both theoretical analysis and experiments have verified the validity of the new CIEI model proposed in this paper
  • Keywords
    image restoration; image texture; along isophotes exemplar-based inpainting; anisotropic diffusion; cross isophotes exemplar-based inpainting; large region removal; linear structure; mathematical analysis; object removal; texture synthesis; Anisotropic magnetoresistance; Data analysis; Filling; Hyperspectral imaging; Image processing; Information science; Layout; Mathematical analysis; Partial differential equations; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.884
  • Filename
    1699649