Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/366
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dc.contributor.authorNanda, P K-
dc.contributor.authorSunil Kumar, K-
dc.contributor.authorGhokale, S-
dc.contributor.authorDesai, U B-
dc.date.accessioned2006-11-29T08:56:14Z-
dc.date.available2006-11-29T08:56:14Z-
dc.date.issued1995-
dc.identifier.citationProceedings of the International Conference on Image Processing, 23-26 1995, Washington, P 45-48en
dc.identifier.urihttp://hdl.handle.net/2080/366-
dc.descriptionCopyright for this article belongs to IEEEen
dc.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
dc.format.extent630170 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.subjectMarkov processesen
dc.subjectcomputational complexityen
dc.subjectimage colour analysisen
dc.subjectimage resolutionen
dc.subjectparameter estimationen
dc.subjectrandom processesen
dc.titleA multiresolution approach to color image restoration and parameter estimation using homotopy continuation methoden
dc.typeArticleen
Appears in Collections:Conference Papers

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