Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/7836
Title: Architecture solution of the non blind iterative Lucy- Richardson deconvolution algorithm
Authors: Fatma Kerouh, Amina Serir
Keywords: deblurring
multiplicative multiresolution decomposition (MMD)
inverse problem
blur quality assessment
Issue Date: 19-Nov-2014
Series/Report no.: 2014;
Abstract: This paper addresses the problem of blind image restoration. The non blind iterative Lucy-Richardson (LR) algorithm is considered. The proposed architecture solution consists of making the LR algorithm totally blind and fully automatic. For this aim, first a proposed point spread function estimation method is used to estimate the blur kernel and make the LR algorithm blind. Moreover in order to make the LR algorithm automatic, the iterative deconvolution process is controlled by a proposed stopping criterion based on a no reference blurred image quality metric that suggested in [1]. Computer simulations using the Gblur LIVE database [2] are provided in order to illustrate the proposed architecture effectiveness. A comparative study with the shock filter blind deblurring method [3] is performed, emphasizing the good proposed architecture solution behavior.
Description: 2émes journées internationales de chimie organométallique et catalyse jicoc’2014
URI: http://dspace.univ-ouargla.dz/jspui/handle/123456789/7836
ISSN: dmz
Appears in Collections:1. Faculté des mathématiques et des sciences de la matière

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