On debiasing restoration algorithms: applications to total-variation and nonlocal-means
arXiv:1503.01587
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 -- while leaving unchanged the other unavoidable part -- the model bias. Our debiasing technique can be used for any locally affine estimator including â1 regularization, anisotropic total-variation and some nonlocal filters.
Scale Space and Variational Methods in Computer Vision 2015, May 2015, L{è}ge Cap Ferret, France