• DocumentCode
    130911
  • Title

    Image inpainting based on wavelet transformation

  • Author

    Yongsheng Xu ; Shuwen Wang

  • Author_Institution
    Coll. of Electr. Eng., Northwest Univ. for Nat., Lanzhou, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    541
  • Lastpage
    544
  • Abstract
    During the time of manual image repair, people tend to follow the principle of the first repair after the overall structure repair of texture details. In this paper, taking into account that the partial differential equation model has strong capacity of keeping linear structure, and texture synthesis model has good effect in repairing the texture information, the defect image is decomposed into structural image and texture image by wavelet transformation, and then the structural image is repaired by partial differential equation model; the texture image is repaired by texture synthesis technique. The experimental results show that the algorithm can effectively improve the quality of image inpainting.
  • Keywords
    image texture; partial differential equations; wavelet transforms; defect image decomposition; image inpainting quality improvement; linear structure; partial differential equation model; structural image repair; texture image repair; texture synthesis model; wavelet transformation; Educational institutions; Image reconstruction; Maintenance engineering; Mathematical model; Partial differential equations; TV; Wavelet transforms; image inpainting; texture synthesis; total variation; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933625
  • Filename
    6933625