Adaptive blind deconvolution using generalized cross-validation with generalized lp/lq norm regularization
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.091
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… read more here.
Keywords: adaptive blind; deconvolution using; deconvolution; generalized norm ... See more keywords
Fast Bayesian Deconvolution Using Simple Reversible Jump Moves
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the Physical Society of Japan"
DOI: 10.7566/jpsj.90.034001
Abstract: We propose a Markov chain Monte Carlo-based deconvolution method designed to estimate the number of peaks in spectral data, along with the optimal parameters of each radial basis function. Assuming... read more here.
Keywords: deconvolution using; bayesian deconvolution; fast bayesian; simple reversible ... See more keywords