Inpainting and denoising of images in learned dictionaries

作者: Ivica Kopriva , Marko Filipović Ivica Kopriva , Marko Filipović

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摘要: Local (patch based) representation is computationally more efficient, yields better results (especially in the inpainting problem), and dictionary has biological relevance/interpretationc, d. aM. Elad, J.-L. Starck, P. Querre, DL Donoho, Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA), Appl. Comput. Harmon. Anal. 19 (2005) 340-358. bMCA Matlab toolbox, http://www. greyc. ensicaen. fr/~ jfadili/demos/WaveRestore/downloads/mcalab/Home. cHubel, DH & Wiesel, TN, Receptive fields, binocular interaction, and functional architecture in the cat's visual cortex. J. Physiol. 160, 106-154 (1962). dHubel, DH & Wiesel, TN, Receptive fields and functional architecture of monkey striate cortex. J. Physiol. 195, 215-244 (1968).

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