On debiasing restoration algorithms: applications to total-variation and nonlocal-means
Language
en
Communication dans un congrès
This item was published in
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), 2015-05-31, Lège Cap Ferret. p. 129-141
English Abstract
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 ...Read more >
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.Read less <
English Keywords
restoration
bias
debiasing
l1 regularization
model subspace
refitting
Origin
Hal imported