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- W2973683825 abstract "This paper introduces a new analysis-based regularizer, which incorporates the neighborhood-awareness of the structure tensor total variation (STV) and the tunability of the directional total variation (DTV), in favor of a pre-selected direction with a pre-selected dose of penalization. In order to show the utility of the proposed regularizer, we consider the problem of denoising uni-directional images. Since the regularizer is convex, we develop a simple optimization algorithm by realizing its proximal map. The quantitative and the visual experiments demonstrate the superiority of our regularizer over DTV (only for scalar-valued images) and STV." @default.
- W2973683825 created "2019-09-26" @default.
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- W2973683825 date "2019-01-01" @default.
- W2973683825 modified "2023-09-25" @default.
- W2973683825 title "On the Direction Guidance in Structure Tensor Total Variation Based Denoising" @default.
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- W2973683825 doi "https://doi.org/10.1007/978-3-030-31332-6_8" @default.
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