• DocumentCode
    2028382
  • Title

    A pyramid model for blind deconvolution based on simulated annealing

  • Author

    Chen, Yen-wei ; Enokura, Tatsuro ; Mendoza, Noel ; Nakao, Zensho

  • Author_Institution
    Fac. of Eng., Ryukyus Univ., Okinawa, Japan
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2843
  • Abstract
    A pyramid model is proposed for blind deconvolution problem of image restoration based on simulated annealing (or other heuristic method). The proposed approach is like a pyramid. The authors start the restoration from a low resolution level. As the image with the low resolution is restored, the restored image (low resolution) is expanded to an image with higher resolution, which is used as an initial estimate of the high-resolution level. The restoration process is repeated to the highest resolution level. Since one can start with an initial estimate, which will be near the optimum solutions for each resolution level even for the highest resolution level, one can easily find the optimum solutions (restorations) with high resolution. Computer simulations have demonstrated the applicability of the proposed method
  • Keywords
    deconvolution; image resolution; image restoration; simulated annealing; blind deconvolution; computer simulations; heuristic method; image restoration; low resolution images; pyramid model; simulated annealing; Biomedical optical imaging; Deconvolution; Degradation; High-resolution imaging; Image resolution; Image restoration; Optical filters; Optical imaging; Optical sensors; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
  • Conference_Location
    Nagoya
  • Print_ISBN
    0-7803-6456-2
  • Type

    conf

  • DOI
    10.1109/IECON.2000.972449
  • Filename
    972449