• DocumentCode
    1247906
  • Title

    A Primal–Dual Method for Total-Variation-Based Wavelet Domain Inpainting

  • Author

    Wen, You-Wei ; Chan, Raymond H. ; Yip, Andy M.

  • Author_Institution
    Fac. of Sci., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    21
  • Issue
    1
  • fYear
    2012
  • Firstpage
    106
  • Lastpage
    114
  • Abstract
    Loss of information in a wavelet domain can occur during storage or transmission when the images are formatted and stored in terms of wavelet coefficients. This calls for image inpainting in wavelet domains. In this paper, a variational approach is used to formulate the reconstruction problem. We propose a simple but very efficient iterative scheme to calculate an optimal solution and prove its convergence. Numerical results are presented to show the performance of the proposed algorithm.
  • Keywords
    image restoration; wavelet transforms; primal-dual method; reconstruction problem; total-variation-based wavelet domain inpainting; wavelet coefficients; Image reconstruction; Image restoration; Pixel; Signal to noise ratio; TV; Wavelet domain; Wavelet transforms; Inpainting; primal–dual; total variation (TV); wavelet; Algorithms; Artifacts; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Wavelet Analysis;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2011.2159983
  • Filename
    5893942