Texture separation via a reference set
Patch-based de-noising algorithms and patch manifold smoothing have emerged as efficient de-noising methods. This paper provides a new insight on these methods. We show how to extend them to separate oscillatory patterns that could be entangled. A collection of particular patches, that we call refer...
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| Veröffentlicht in: | Applied and computational harmonic analysis 2014-03, Vol.36 (2), p.335-347 |
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| container_end_page | 347 |
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| container_issue | 2 |
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| container_title | Applied and computational harmonic analysis |
| container_volume | 36 |
| creator | Haddad, Ali Kushnir, Dan Coifman, Ronald R. |
| description | Patch-based de-noising algorithms and patch manifold smoothing have emerged as efficient de-noising methods. This paper provides a new insight on these methods. We show how to extend them to separate oscillatory patterns that could be entangled. A collection of particular patches, that we call reference set, is selected by the user. We define a notion of similarity relative to this reference set that is used to extend the Non-Local Means (see Buades et al., 2005) [1] and the graph-based de-noising method (see Szlam et al., 2008) [12]. |
| doi_str_mv | 10.1016/j.acha.2013.05.002 |
| format | Article |
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| ispartof | Applied and computational harmonic analysis, 2014-03, Vol.36 (2), p.335-347 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals Complete; EZB-FREE-00999 freely available EZB journals |
| subjects | Algorithms Collection Diffusion geometry Diffusion processes Fourier analysis Graph filtering Manifolds NL-Means Patch manifold Similarity Smoothing Surface layer Texture |
| title | Texture separation via a reference set |
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