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.


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    Title :

    Simultaneous perturbation optimization for efficient image restoration


    Contributors:
    Maryak, J.L. (author) / Spall, J.C. (author)


    Publication date :

    2005-01-01


    Size :

    754313 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English