Parallel Hybrid Tabu Search Algorithm for Image Restoration

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/363

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DC Field	Value	Language
dc.contributor.author	Nanda, P K	-
dc.contributor.author	Patra, D	-
dc.date.accessioned	2006-11-24T07:59:38Z	-
dc.date.available	2006-11-24T07:59:38Z	-
dc.date.issued	2004	-
dc.identifier.citation	Proceedings of International Conference on Communications, Devices & Intelligent Systems, 8-10 Jan 2004, Kolkatta, India, P 532-535	en
dc.identifier.uri	http://hdl.handle.net/2080/363	-
dc.description	Copyright for this article belongs to the proceedings publisher	en
dc.description.abstract	In this article a novel parallel hybrid algorithm is proposed for image restoration. The Image restoration problem is formulated as a Maximum a Posteriori (MAP) estimation problem. The noise free image is modeled as Markov Random Field Model. The MAP estimates are obtained by the proposed hybrid Tabu algorithms. The performance of the algorithm is enhanced by parallelizing the proposed hybrid algorithm. The results obtained using the proposed algorithm are compared with that of using Simulated Annealing algorithm and it was found that the former outperforms the later one. The results presented in this paper correspond to the serial implementation of parallel algorithm	en
dc.format.extent	304711 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Jadavpur University	en
dc.title	Parallel Hybrid Tabu Search Algorithm for Image Restoration	en
dc.type	Article	en
Appears in Collections:	Conference Papers

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