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Moments and Moment Invariants: Theory and Applications

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    0429812 - ÚTIA 2015 RIV GR eng M - Monography Chapter
    Honarvar Shakibaei Asli, B. - Flusser, Jan
    Image Deconvolution in the Moment Domain.
    Moments and Moment Invariants: Theory and Applications. Xanthi: Science Gate Publishing, 2014 - (Papakostas, G.), s. 111-125. Gate to Computer Science and Research, Volume 1. ISBN 978-618-81418-1-0
    R&D Projects: GA ČR GA13-29225S
    Keywords : Digital image * Deconvolution * Moments
    Subject RIV: JD - Computer Applications, Robotics
    http://library.utia.cas.cz/separaty/2014/ZOI/flusser-0429812.pdf

    We propose a novel algorithm for image deconvolution from the geometric moments (GMs) of a degraded image by a circular or elliptical Gaussian point-spread function (PSF). In the proposed scheme, to show the invertibility of the moment equation in a closed form, we establish a relationship between the moments of the degraded image and the moments of the original image and the Gaussian PSF. The proposed inverted formula paves the way to reconstruct the original image using the Stirling numbers of the first kind. We validate the theoretical analysis of the proposed scheme and confirm its feasibility through the comparative studies.
    Permanent Link: http://hdl.handle.net/11104/0234854

     
     
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