DSpace@nitr: Item 2080/366

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

Full metadata record

DC Field	Value	Language
contributor.author	Nanda, P K	-
contributor.author	Sunil Kumar, K	-
contributor.author	Ghokale, S	-
contributor.author	Desai, U B	-
date.accessioned	2006-11-29T08:56:14Z	-
date.available	2006-11-29T08:56:14Z	-
date.issued	1995	-
identifier.citation	Proceedings of the International Conference on Image Processing, 23-26 1995, Washington, P 45-48	en
identifier.uri	http://hdl.handle.net/2080/366	-
description	Copyright for this article belongs to IEEE	en
description.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	en
format.extent	630170 bytes	-
format.mimetype	application/pdf	-
language.iso	en	-
publisher	IEEE	en
subject	Markov processes	en
subject	computational complexity	en
subject	image colour analysis	en
subject	image resolution	en
subject	parameter estimation	en
subject	random processes	en
title	A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method	en
type	Article	en
Appears in Collections:	Conference Papers

Files in This Item:

File	Description	Size	Format
nandapk2.pdf		615Kb	Adobe PDF	View/Open

Feedback