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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Adaptive Morphologic Regularizations for Inverse Problems
verfasst von : Pulak Purkait, Bhabatosh Chanda
Erschienen in: Mathematical Morphology and Its Applications to Signal and Image Processing
Verlag: Springer Berlin Heidelberg
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Regularization is an well-known technique for obtaining stable solution of ill-posed inverse problems. In this paper we establish a key relationship among the regularization methods with edge-preserving noise filtering method which leads to an efficient adaptive regularization methods. We show experimentally the efficiency and superiority of the proposed regularization methods for some inverse problems, e.g. deblurring and super-resolution (SR) image reconstruction.