A general truncated regularization framework for contrast-preserving variational signal and image restoration: Motivation and implementation
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DOI: 10.1007/s11425-017-9260-8
Abstract: Variational methods have become an important kind of methods in signal and image restoration-a typical inverse problem. One important minimization model consists of the squared ℓ2 data fidelity (corresponding to Gaussian noise) and a regularization… read more here.
Keywords: general truncated; framework; image restoration; signal image ... See more keywords