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 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
nandapk2.pdf | 615.4 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.