A Comparison of Three Total Variation Based Texture Extraction Models

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dc.contributor.authorYin, Wotao
dc.contributor.authorGoldfarb, Donald
dc.contributor.authorOsher, Stanley
dc.date.accessioned2018-06-18T17:58:13Z
dc.date.available2018-06-18T17:58:13Z
dc.date.issued2007-01
dc.date.noteJanuary 2007
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.
dc.format.extent25 pp
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>.
dc.identifier.digitalTR07-01
dc.identifier.urihttps://hdl.handle.net/1911/102067
dc.language.isoeng
dc.titleA Comparison of Three Total Variation Based Texture Extraction Models
dc.typeTechnical report
dc.type.dcmiText
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