On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means
نویسندگان
چکیده
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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