Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain

Inverse imaging problems are inherently underdetermined, and hence, it is important to employ appropriate image priors for regularization. One recent popular prior-the graph Laplacian regularizer-assumes that the target pixel patch is smooth with respect to an appropriately chosen graph. However, th...

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Veröffentlicht in:	IEEE transactions on image processing 2017-04, Vol.26 (4), p.1770-1785
Hauptverfasser:	Pang, Jiahao, Cheung, Gene
Format:	Artikel
Sprache:	eng
Schlagworte:	Anisotropic magnetoresistance Graph Laplacian regularization graph signal processing Image denoising Imaging Laplace equations Manifolds Measurement Noise reduction
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