A homotopy continuation method for parameter estimation in MRF models and image restoration

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/368

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DC Field	Value	Language
dc.contributor.author	Nanda, P K	-
dc.contributor.author	Desai, U B	-
dc.contributor.author	Poonacha, P G	-
dc.date.accessioned	2006-11-29T09:08:10Z	-
dc.date.available	2006-11-29T09:08:10Z	-
dc.date.issued	1994	-
dc.identifier.citation	IEEE International Symposium on Circuits and Systems, 30 May - June 2, P 273-276	en
dc.identifier.uri	http://hdl.handle.net/2080/368	-
dc.description	Copyright for this article belongs to IEEE	en
dc.description.abstract	In this paper, we present an alternate approach to estimate the parameters of a Markov random field (MRF) model for images using the concepts of homotopy continuation method. We also develop a joint parameter estimation and image restoration scheme where we have used a fairly general model involving the line fields and tested on a real image. Simulation results using gray level images are presented.	en
dc.format.extent	354148 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.title	A homotopy continuation method for parameter estimation in MRF models and image restoration	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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