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Communication Dans Un Congrès Année : 2015

On debiasing restoration algorithms: applications to total-variation and nonlocal-means

Résumé

Bias in image restoration algorithms can hamper further analysis, typically when the intensities have a physical meaning of interest , e.g., in medical imaging. We propose to suppress a part of the bias – the method bias – while leaving unchanged the other unavoidable part – the model bias. Our debiasing technique can be used for any locally affine estimator including ℓ1 regularization, anisotropic total-variation and some nonlocal filters.
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Dates et versions

hal-01123542 , version 1 (05-03-2015)

Identifiants

Citer

Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon. On debiasing restoration algorithms: applications to total-variation and nonlocal-means. International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), May 2015, Lège Cap Ferret, France. pp.129-141. ⟨hal-01123542⟩
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