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An Anisotropic Inf-Convolution BV type model for dynamic reconstruction.

Abstract : We are interested in a spatial-temporal variational model for image sequences. The model involves a fitting data term to be adapted to different modalities such as denoising, deblurring or emission tomography. The regularizing term acts as an infimal-convolution type operator that takes into account the respective influence of space and time variables in a separate mode. We give existence and uniqueness results and provide optimality conditions via duality analysis.
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Contributor : Maïtine Bergounioux Connect in order to contact the contributor
Submitted on : Wednesday, September 6, 2017 - 8:57:56 AM
Last modification on : Wednesday, November 3, 2021 - 6:38:27 AM

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  • HAL Id : hal-01401408, version 3

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Maïtine Bergounioux, E Papoutsellis. An Anisotropic Inf-Convolution BV type model for dynamic reconstruction. . SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2018. ⟨hal-01401408v3⟩

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