On debiasing restoration algorithms: applications to total-variation and nonlocal-means
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Communication dans un congrès
Este ítem está publicado en
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'15), 2015-05-31, Lège Cap Ferret. p. 129-141
Resumen en inglés
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 ...Leer más >
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.< Leer menos
Palabras clave en inglés
restoration
bias
debiasing
l1 regularization
model subspace
refitting
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Importado de HalCentros de investigación