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dc.contributor.authorNanda, P K-
dc.contributor.authorSunil Kumar, K-
dc.contributor.authorGhokale, S-
dc.contributor.authorDesai, U B-
dc.identifier.citationProceedings of the International Conference on Image Processing, 23-26 1995, Washington, P 45-48en
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.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
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