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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/366

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contributor.authorNanda, P K-
contributor.authorSunil Kumar, K-
contributor.authorGhokale, S-
contributor.authorDesai, U B-
date.accessioned2006-11-29T08:56:14Z-
date.available2006-11-29T08:56:14Z-
date.issued1995-
identifier.citationProceedings of the International Conference on Image Processing, 23-26 1995, Washington, P 45-48en
identifier.urihttp://hdl.handle.net/2080/366-
descriptionCopyright for this article belongs to IEEEen
description.abstractWe address the problem of color image restoration. We model the image as a Markov random field (MRF) and propose a restoration algorithm in a multiresolution framework. The incorporation of multiresolution technique significantly reduces the computational complexity of the restoration algorithm. The energy function at each resolution being non-convex, is minimized using the simulated annealing algorithm. The parameters which describe the MRF model at each resolution are computed a priori using the homotopy continuation method. Simulation results are presented to validate the proposed schemeen
format.extent630170 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherIEEEen
subjectMarkov processesen
subjectcomputational complexityen
subjectimage colour analysisen
subjectimage resolutionen
subjectparameter estimationen
subjectrandom processesen
titleA multiresolution approach to color image restoration and parameter estimation using homotopy continuation methoden
typeArticleen
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