Minimum Kurtosis CMA Deconvolution for Blind Image Restoration

Pradeepa Samarasinghe, Rodney Kennedy

    Research output: Contribution to conferencePaper

    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
    Pages271-276
    DOIs
    Publication statusPublished - 2009
    EventInternational Conference on Information and Automation for Sustainability (ICIAFS 2008) - Colombo Sri Lanka
    Duration: 1 Jan 2009 → …

    Conference

    ConferenceInternational Conference on Information and Automation for Sustainability (ICIAFS 2008)
    Period1/01/09 → …

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