%0 Journal Article
	%A S.K. Satpathy and  S.K. Nayak and  K. K. Nagwanshi and  S. Panda and  C. Ardil
	%D 2010
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 37, 2010
	%T An Adaptive Model for Blind Image Restoration using Bayesian Approach
	%U https://publications.waset.org/pdf/14145
	%V 37
	%X Image restoration involves elimination of noise. Filtering techniques were adopted so far to restore images since last five decades. In this paper, we consider the problem of image restoration degraded by a blur function and corrupted by random noise. A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, which makes use of an a priori noise model, has been evaluated on various types of images. Bayesian based algorithms and technique of image processing have been described and substantiated with experimentation using MATLAB.
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