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Adaptive blind deconvolution using generalized cross-validation with generalized lp/lq norm regularization

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Abstract Blind image deconvolution is a typically ill-conditioned inverse problem that requires additional information to constrain the solution space. The purpose of this paper is to investigate the characteristics of… Click to show full abstract

Abstract Blind image deconvolution is a typically ill-conditioned inverse problem that requires additional information to constrain the solution space. The purpose of this paper is to investigate the characteristics of generalized lp/lq norm on the derivatives of nature images and present a novel efficient method for blind image deconvolution with generalized lp/lq norm (0

Keywords: adaptive blind; deconvolution using; deconvolution; generalized norm; blind deconvolution

Journal Title: Neurocomputing
Year Published: 2020

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