• DocumentCode
    2088281
  • Title

    New adaptive iterative image restoration algorithm

  • Author

    Choy, Steven S O ; Chan, Yuk-Hee ; Siu, Wan-chi

  • Author_Institution
    Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
  • Volume
    2
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    670
  • Abstract
    It has been shown in the literature that adaptive regularized image restoration is superior to the non-adaptive case. However, the adaptivity introduced in most proposed iterative algorithms is based only on the application of the space-variant smoothing operator. It is found that these adaptive algorithms suffer from insufficient smoothing of the flat image regions. In this paper, an adaptive iterative image restoration algorithm, which applies both techniques of space-variant smoothing and space-variant restoration, is proposed to overcome the stated problem. It is shown by experiments that the restored images obtained by the proposed algorithm are better in terms of both numerical measurement and visual quality
  • Keywords
    adaptive signal processing; image restoration; image segmentation; iterative methods; smoothing methods; adaptive iterative image restoration algorithm; flat image regions; iterative algorithms; numerical measurement; regularized image restoration; space-variant restoration; space-variant smoothing operator; visual quality; Adaptive algorithm; Additive noise; Degradation; Ear; Equations; Image restoration; Inverse problems; Iterative algorithms; Smoothing methods; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413655
  • Filename
    413655