DOIONLINE

DOIONLINE NO - IJAECS-IRAJ-DOIONLINE-2154

Publish In
International Journal of Advances in Electronics and Computer Science-IJAECS
Journal Home
Volume Issue
Issue
Volume-2, Issue-5  ( May, 2015 )
Paper Title
Regularized Multichannel Blind Deconvolution Using Alternating Minimization
Author Name
Soniya James, V Ivek Maik
Affilition
Department of Electronics and Communication The Oxford College Of Engineering Bangalore
Pages
35-40
Abstract
-Regularized Blind Deconvolution is a problem applied to degraded images in or-der to bring the original image out of blur. Multichannel blind Deconvolution considered as an optimization problem. Each step in the optimization is variable splitting problem using algorithm Alternating Minimization Algorithm. Each Step in the Variable splitting undergoes with Augmented Lagrangian method (ALM) /Bregman Iterative method. Regularisation is a problem where an ill posed sensors, investigation using pho-tographs etc. Here we are doing analysis using blurred image and synthesis using original im- age where adding disk blur in to the image and comparing the PSNR. Keywords -Bregman Iterative method, Al-ternating Minimization Algorithm, Isotropic TV model lp norm, Isotropic TV model l2 norm,Peaksignal to noise ratio,(PSNR),Mean Square Er-ror(MSE)
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