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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15049

Title: Image Restoration using Modified Hopfield Fuzzy Regularization Method
Authors: Mohsin Bilal
Muhammad Sharif
Arfan Jaffar
Ayyaz Hussain
Anwar M. Mirza
Keywords: Image Restoration; Neural Networks;
Issue Date: 2010
Abstract: This paper addresses one of the primary problems of visual information processing known as image restoration. Image restoration is a challenging task because of its ill-posed inverse nature. A modified Hopfield neural network with fuzzy adaptive regularization is proposed that shows potential to minimize constraint mean square error in order to guarantee the optimized results. Adaptive regularization was achieved by using fuzzy quasi-range edge detector. The visual results along with the statistical measurements of the resultant images are presented in the paper. Improved SNRs show that the fuzzy regularization method is superior to other statistical and neural network methods when used along with the modified Hopfield neural network
URI: http://hdl.handle.net/123456789/15049
Appears in Collections:College of Computer and Information Sciences

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