This paper deals with the blind deconvolution of blurred noisy images and proposes exploiting edge preserving MRF-based regularization to improve the quality of both the image and blur estimates.
Blur identification analysis in blind image deconvolution using Markov random fields
Tonazzini A
2001
Abstract
This paper deals with the blind deconvolution of blurred noisy images and proposes exploiting edge preserving MRF-based regularization to improve the quality of both the image and blur estimates.File in questo prodotto:
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Descrizione: Blur identification analysis in blind image deconvolution using Markov random fields
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