• DocumentCode
    3498379
  • Title

    An image inpainting approach based on the Poisson equation

  • Author

    Shao, Xiaowei ; Liu, Zhengkai ; Li, Houqiang

  • Author_Institution
    Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China
  • fYear
    2006
  • fDate
    27-28 April 2006
  • Lastpage
    372
  • Abstract
    A novel algorithm is proposed for inpainting digital images based on the Poisson equation. In this method, the image to be repaired is decomposed into the structure image and the texture image, which are processed respectively according to their image characteristics. The texture image is repaired by the exemplar-based method; for the structure image, the Laplacian operator is employed to enhance the structure information, and the Laplacian image is inpainted by the exemplar-based algorithm, followed by a reconstruction based on the Poisson equation. The inpainting result is obtained by adding back these two sub-images. Experiments show the proposed algorithm provides a better visual effect, especially for large area inpainting
  • Keywords
    Poisson equation; image reconstruction; image texture; Laplacian operator; Poisson equation; digital images; exemplar-based method; image inpainting; image reconstruction; structure image; texture image; Digital images; Dynamic programming; Image edge detection; Image reconstruction; Image restoration; Information science; Laplace equations; Poisson equations; Statistical learning; Visual effects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on
  • Conference_Location
    Lyon
  • Print_ISBN
    0-7695-2531-8
  • Type

    conf

  • DOI
    10.1109/DIAL.2006.3
  • Filename
    1612979