A Comparison of Three Total Variation Based Texture Extraction Models

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dc.contributor.authorYin, Wotaoen_US
dc.contributor.authorGoldfarb, Donalden_US
dc.contributor.authorOsher, Stanleyen_US
dc.date.accessioned2018-06-18T17:58:13Zen_US
dc.date.available2018-06-18T17:58:13Zen_US
dc.date.issued2007-01en_US
dc.date.noteJanuary 2007en_US
dc.description.abstractThis paper qualitatively compares three recently proposed models for signal/image texture extraction based on total variation minimization:the Meyer, Vese-Osher, and TV-L1 models. We formulate discrete versions of these models as second-order cone programs (SOCPs) which can be solved efficiently by interior-point methods. Our experiments with these models on 1D oscillating signals and 2D images reveal their differences: the Meyer model tends to extract oscillation patterns in the input, the TV-L1 model performs a strict multiscale decomposition, and the Vese-Osher model has properties falling in between the other two models.en_US
dc.format.extent25 ppen_US
dc.identifier.citationYin, Wotao, Goldfarb, Donald and Osher, Stanley. "A Comparison of Three Total Variation Based Texture Extraction Models." (2007) <a href="https://hdl.handle.net/1911/102067">https://hdl.handle.net/1911/102067</a>.en_US
dc.identifier.digitalTR07-01en_US
dc.identifier.urihttps://hdl.handle.net/1911/102067en_US
dc.language.isoengen_US
dc.titleA Comparison of Three Total Variation Based Texture Extraction Modelsen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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