Joint parameter estimation and restoration using MRF models and homotopy continuation method

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/367

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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	2006-11-29T09:04:06Z	-
dc.date.available	2006-11-29T09:04:06Z	-
dc.date.issued	1994	-
dc.identifier.citation	Proceedings of the IEEE International Conference on Image Processing , 13-16 1994, P 705-709	en
dc.identifier.uri	http://hdl.handle.net/2080/367	-
dc.description	Copyright for this article belongs to IEEE	en
dc.description.abstract	This paper presents a joint strategy for parameter estimation of Markov Random Field (MRF) model and image restoration. The proposed scheme is an unsupervised one in the sense that no a priori knowledge of the actual image is assumed. The technique of homotopy continuation method is employed to estimate the model parameters. The model considered involves line fields and is tested on real images. Simulation results are presented for gray level images.	en
dc.format.extent	596558 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.title	Joint parameter estimation and restoration using MRF models and homotopy continuation method	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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