文章基本信息

标题：Directional Filters for Cartoon + Texture Image Decomposition
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作者：Antoni Buades ; Jose-Luis Lisani
期刊名称：Image Processing On Line
电子版ISSN：2105-1232
出版年度：2016
卷号：6
页码：75-88
DOI：10.5201/ipol.2016.165
出版社：Image Processing On Line
摘要：We present in this article a detailed analysis and implementation of the cartoon+texture decomposition algorithm proposed in [A. Buades, J.L. Lisani, 'Directional filters for color cartoon + texture image and video decomposition', Journal of Mathematical Imaging and Vision, 2015]. This method follows the approach proposed by [A. Buades, T. Le, J-M. Morel, L. Vese, 'Cartoon+Texture Image Decomposition', IPOL 2011], based on low/high-pass filtering, but replaces the isotropic filters by a bank of low-pass directional filters. The cartoon image is obtained by filtering in the direction that leads to the largest local total variation rate reduction. This permits to improve the performance of the decomposition near image discontinuities, where an halo effect was produced by the previous method.