Patch-based methods for variational image processing problems
Published in Infoscience (Ecole Polytechnique Fédérale de Lausanne) • Jan 1, 2013
NobleIDNI6P00W14R46S07
Authors:
Emmanuel d'Angelo
Abstract
Image Processing problems are notoriously difficult. To name a few of these difficulties, they are usually ill-posed, involve a huge number of unknowns (from one to several per pixel!), and images cannot be considered as the linear superposition of a few physical sources as they contain many differe...
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