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A New Iterative FIR Filter for Image and Video Restoration

Prasad, Nitin Rakesh and Mondal, Partha P and Kanhirodan, Rajan (2007) A New Iterative FIR Filter for Image and Video Restoration. In: 5th IEEE International Conference on Cognitive Informatics 2006 ICCI 2006, 17-19 July 2006, Beijing.

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Image and video filtering is a key image-processing task in computer vision especially in noisy environment. In most of the cases the noise source is unknown and hence possess a major difficulty in the filtering operation. In this paper we present an error-correction based learning approach for iterative filtering. A new FIR filter is designed in which the filter coefficients are updated based on Widrow-Hoff rule. Unlike the standard filter the proposed filter has the ability to remove noise without the a priori knowledge of the noise. Experimental result shows that the proposed filter efficiently removes the noise and preserves the edges in the image. We demonstrate the capability of the proposed algorithm by testing it on standard images infected by Gaussian noise and on a real time video containing inherent noise. Experimental result shows that the proposed filter is better than some of the existing standard filters

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Neural Network;Error-correction Learning;Image Restoration; Gaussian Noise;Image Processing.
Department/Centre: Division of Physical & Mathematical Sciences > Physics
Date Deposited: 24 Nov 2011 07:24
Last Modified: 24 Nov 2011 07:24
URI: http://eprints.iisc.ac.in/id/eprint/42167

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