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http://hdl.handle.net/2080/366
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DC Field | Value | Language |
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dc.contributor.author | Nanda, P K | - |
dc.contributor.author | Sunil Kumar, K | - |
dc.contributor.author | Ghokale, S | - |
dc.contributor.author | Desai, U B | - |
dc.date.accessioned | 2006-11-29T08:56:14Z | - |
dc.date.available | 2006-11-29T08:56:14Z | - |
dc.date.issued | 1995 | - |
dc.identifier.citation | Proceedings of the International Conference on Image Processing, 23-26 1995, Washington, P 45-48 | en |
dc.identifier.uri | http://hdl.handle.net/2080/366 | - |
dc.description | Copyright for this article belongs to IEEE | en |
dc.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 |
dc.format.extent | 630170 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | IEEE | en |
dc.subject | Markov processes | en |
dc.subject | computational complexity | en |
dc.subject | image colour analysis | en |
dc.subject | image resolution | en |
dc.subject | parameter estimation | en |
dc.subject | random processes | en |
dc.title | A multiresolution approach to color image restoration and parameter estimation using homotopy continuation method | en |
dc.type | Article | en |
Appears in Collections: | Conference Papers |
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nandapk2.pdf | 615.4 kB | Adobe PDF | View/Open |
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