• DocumentCode
    763778
  • Title

    Simultaneous perturbation optimization for efficient image restoration

  • Author

    Maryak, J.L. ; Spall, James C.

  • Author_Institution
    Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
  • Volume
    41
  • Issue
    1
  • fYear
    2005
  • Firstpage
    356
  • Lastpage
    361
  • Abstract
    The Gibbs sampler of Geman and Geman (G&G) (1984) is a standard technique for image restoration. We implemented a similar estimation technique based on a new optimization method (simultaneous perturbation stochastic approximation (SPSA)). Preliminary tests of our results show comparable performance to the Gibbs sampler but with faster running times. This study suggests that SPSA is a strong candidate for use in image restoration.
  • Keywords
    estimation theory; image restoration; optimisation; stochastic processes; Gibbs sampler; image restoration; simultaneous perturbation optimization; simultaneous perturbation stochastic approximation; Annealing; Bayesian methods; Degradation; Image processing; Image restoration; Image sampling; Optimization methods; Pixel; Shape control; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2005.1413767
  • Filename
    1413767
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=763778