• DocumentCode
    2521611
  • Title

    A curvature constraint Exemplar-based image inpainting

  • Author

    Qin, Yongbo ; Wang, Feng

  • Author_Institution
    Sch. of Math. Sci., Capital Normal Univ., Beijing, China
  • fYear
    2010
  • fDate
    9-11 April 2010
  • Firstpage
    263
  • Lastpage
    267
  • Abstract
    Digital image inpainting belongs to image recovery field, which is to fill the region where information is missing or to replace the missing region with different information. In this article, we mainly study the Exemplar-based method, which was proposed by Criminisi. The Exemplar-based method is to choose appropriate exemplar patches from a known image or the known region of the image waiting to be processed to fill the damaged region. By using Exemplar-based image inpainting method, we maintain the structure information by defining the priority for each unknown pixel and then complete pixels according to each pixel´s priority. In this article, we try to improve the Exemplar-based method aiming at undistinguished priority values and failure in inpainting regions which contain linear structure with significant changes in curvature. Meanwhile, we reasonably optimize the strategy for finding the most similar exemplar from the known region. As a result, our method acquires more reasonable results for some images with both structure and texture missing regions.
  • Keywords
    image restoration; image texture; painting; curvature constraint; digital image inpainting; exemplar-based method; image recovery field; region filling; Data models; Digital images; Filling; Image decomposition; Image restoration; Painting; Partial differential equations; Pixel; Combinatorial Factor; Curvature; Exemplar; Image Inpainting; Linear Factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing (IASP), 2010 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4244-5554-6
  • Electronic_ISBN
    978-1-4244-5556-0
  • Type

    conf

  • DOI
    10.1109/IASP.2010.5476116
  • Filename
    5476116