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• W2109474538 abstract "We propose in this paper a total variation based restoration model which incorporates the image acquisition model z=h * U+n (where z represents the observed sampled image, U is the ideal undistorted image, h denotes the blurring kernel and n is a white Gaussian noise) as a set of local constraints. These constraints, one for each pixel of the image, express the fact that the variance of the noise can be estimated from the residuals z−h * U if we use a neighborhood of each pixel. This is motivated by the fact that the usual inclusion of the image acquisition model as a single constraint expressing a bound for the variance of the noise does not give satisfactory results if we wish to simultaneously recover textured regions and obtain a good denoising of the image. We use Uzawa’s algorithm to minimize the total variation subject to the proposed family of local constraints and we display some experiments using this model." @default.
• W2109474538 created "2016-06-24" @default.
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• W2109474538 date "2007-10-16" @default.
• W2109474538 modified "2023-09-23" @default.
• W2109474538 title "A TV Based Restoration Model with Local Constraints" @default.
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• W2109474538 doi "https://doi.org/10.1007/s10915-007-9160-x" @default.
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