Maximum Likelihood for Bayesian Estimator Based on alpha-Stable For Image

Xu Huang, Allan Madoc

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    66 Citations (Scopus)

    Abstract

    A maximum likelihood for Bayesian estimator based on /spl alpha/-stable is discussed. Closer to a realistic situation, and unlike previous methods used for the Bayesian estimator, for the case discussed here it is not necessary to know the variance of the noise. The parameters relative to Bayesian estimators of the model built up are carefully investigated after a discussion of /spl alpha/-stable 3D simulations for a maximum likelihood. The Bayesian estimator then is established. As an example, an improved Bayesian estimator that is a natural extension of the Wiener solution and other wavelet denoising (soft and hard threshold methods), is presented to illustrate our discussion.
    Original languageEnglish
    Title of host publication2002 IEEE Internatioanl Conference on Multimedia and Expo
    Place of PublicationSwitzerland
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages709-712
    Number of pages4
    ISBN (Print)0-7803-7305-7
    DOIs
    Publication statusPublished - 2002
    Event2002 IEEE International Conference on Multimedia and Expo -
    Duration: 26 Aug 200229 Aug 2002

    Conference

    Conference2002 IEEE International Conference on Multimedia and Expo
    Period26/08/0229/08/02

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    Cite this

    Huang, X., & Madoc, A. (2002). Maximum Likelihood for Bayesian Estimator Based on alpha-Stable For Image. In 2002 IEEE Internatioanl Conference on Multimedia and Expo (pp. 709-712). Switzerland: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICME.2002.1035880