• DocumentCode
    584554
  • Title

    Noisy Radial Deblurring Using Natural Image Prior

  • Author

    Li, Shaochun ; Cui, Yuli ; Chu, Yongling

  • Author_Institution
    Yantai Vocational Coll., Yantai, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    1880
  • Lastpage
    1883
  • Abstract
    Radial blurring, a challenging problem in image processing, is a special case of the space-variant motion blur. Previous methods mainly focus on space-invariant motion blurring, which could not be utilized directly in the space-variant motion deblurring. In this paper, we proposed a modified noisy radial deblurring method based on polar coordinate system, using the global and local image priors. The experiment results show that our proposed algorithm can denoise the additive noise and suppress the undesirable ring like ringing artifacts successfully, while the objective evaluations and subjective visual effects of the restoration images are improved obviously.
  • Keywords
    AWGN; image denoising; image motion analysis; image restoration; additive noise denoising; global natural image priors; image processing; image restoration; local natural image priors; noisy radial deblurring method; objective evaluations; polar coordinate system; space-variant motion blur; space-variant motion deblurring; subjective visual effects; undesirable ringlike ringing artifact suppression; Cameras; Image restoration; Measurement errors; Noise measurement; PSNR; TV; Gaussian white noise; Richardson-Lucy; image deblurring; natural image prior; total variation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.468
  • Filename
    6394787