On debiasing restoration algorithms: applications to total-variation and nonlocal-means
Langue
en
Communication dans un congrès
Ce document a été publié dans
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), 2015-05-31, Lège Cap Ferret. p. 129-141
Résumé en anglais
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 ...Lire la suite >
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.< Réduire
Mots clés en anglais
restoration
bias
debiasing
l1 regularization
model subspace
refitting
Origine
Importé de halUnités de recherche