Minimum kurtosis CMA deconvolution for blind image restoration

Pradeepa D. Samarasinghe, Rodney A. Kennedy

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Citations (Scopus)

    Abstract

    A critical assumption in applying Godard CMA algorithm for blind deconvolution and equalization is the assumption of an independently distributed source. Almost all the applications in the literature have based their implementations on this assumption. To our knowledge, no research has been done on the effect of source correlation on adaptive blind deblurring of images through CMA, and this paper addresses that gap, coming up with a novel model of addressing the source correlation problem in the image deblurring through CMA.

    Original languageEnglish
    Title of host publicationProceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008
    Pages271-276
    Number of pages6
    DOIs
    Publication statusPublished - 2008
    Event2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008 - Colombo, Sri Lanka
    Duration: 12 Dec 200814 Dec 2008

    Publication series

    NameProceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008

    Conference

    Conference2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008
    Country/TerritorySri Lanka
    CityColombo
    Period12/12/0814/12/08

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