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

Title: A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method
Authors: Nanda, P K
Sunil Kumar, K
Ghokale, S
Desai, U B
Keywords: Markov processes
computational complexity
image colour analysis
image resolution
parameter estimation
random processes
Issue Date: 1995
Publisher: IEEE
Citation: Proceedings of the International Conference on Image Processing, 23-26 1995, Washington, P 45-48
Abstract: We 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 scheme
Description: Copyright for this article belongs to IEEE
URI: http://hdl.handle.net/2080/366
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