• DocumentCode
    1335067
  • Title

    Texture-Preserving Image Deblurring

  • Author

    Chen, Fen ; Huang, Xiaojun ; Chen, Wufan

  • Author_Institution
    Sch. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    17
  • Issue
    12
  • fYear
    2010
  • Firstpage
    1018
  • Lastpage
    1021
  • Abstract
    In this letter, a two-step texture-preserving image deblurring method is proposed. This method restores the blurred image in the frequency domain to obtain a noisy result with minimal loss of signal components, followed by a modified non-local means (NLM) filter to attenuate the leaked colored noise. This modified NLM filter computes the weights not only using the self-similarity of the neighbors, but also on spatial distance from the pixel in question. Experimental results demonstrate that the proposed algorithm can effectively obtain a visually pleasant texture-preserving result with compared to the state-of-the-art total variation method.
  • Keywords
    filtering theory; frequency-domain analysis; image colour analysis; image restoration; image texture; NLM filter; frequency domain; image restoration; leaked colored noise; nonlocal means filter; state-of-the-art total variation method; texture-preserving image deblurring; Image restoration; Noise measurement; Noise reduction; PSNR; Image deblurring; non-local means filter; texture-preserving;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2010.2078807
  • Filename
    5585714