MRF-Based blind image deconvolution

Abstract : This paper proposes an optimization-based blind image deconvolution method. The proposed method relies on imposing a discrete MRF prior on the deconvolved image. The use of such a prior leads to a very efficient and powerful deconvolution algorithm that carefully combines advanced optimization techniques. We demonstrate the extreme effectiveness of our method1 by applying it on a wide variety of very challenging cases that involve the inference of large and complicated blur kernels.
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Conference papers
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Contributor : Enzo Ferrante <>
Submitted on : Friday, August 30, 2013 - 5:05:50 PM
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  • HAL Id : hal-00856285, version 1



Nikos Komodakis, Nikos Paragios. MRF-Based blind image deconvolution. 11th Asian Conference on Computer Vision - ACCV 2012, Nov 2012, Daejeon, North Korea. pp.361-374. ⟨hal-00856285⟩



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