Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems


We introduce a generic convex energy functional that is suitable for both grayscale and vector-valued images. Our functional is based on the eigenvalues of the structure tensor, therefore it penalizes image variation at every point by taking into account the information from its neighborhood. It generalizes several existing variational penalties, such as… (More)
DOI: 10.1007/978-3-642-38267-3_5


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