Matches in SemOpenAlex for { <https://semopenalex.org/work/W2100053953> ?p ?o ?g. }
- W2100053953 endingPage "4632" @default.
- W2100053953 startingPage "4616" @default.
- W2100053953 abstract "In this paper, we are interested in the classical problem of restoring data degraded by a convolution and the addition of a white Gaussian noise. The originality of the proposed approach is two-fold. Firstly, we formulate the restoration problem as a nonlinear estimation problem leading to the minimization of a criterion derived from Stein's unbiased quadratic risk estimate. Secondly, the deconvolution procedure is performed using any analysis and synthesis frames that can be overcomplete or not. New theoretical results concerning the calculation of the variance of the Stein's risk estimate are also provided in this work. Simulations carried out on natural images show the good performance of our method w.r.t. conventional wavelet-based restoration methods." @default.
- W2100053953 created "2016-06-24" @default.
- W2100053953 creator A5017827397 @default.
- W2100053953 creator A5062845079 @default.
- W2100053953 creator A5090426136 @default.
- W2100053953 date "2009-12-01" @default.
- W2100053953 modified "2023-10-15" @default.
- W2100053953 title "A SURE Approach for Digital Signal/Image Deconvolution Problems" @default.
- W2100053953 cites W1514248469 @default.
- W2100053953 cites W1653130573 @default.
- W2100053953 cites W1965570176 @default.
- W2100053953 cites W1968982346 @default.
- W2100053953 cites W1983579205 @default.
- W2100053953 cites W2007203285 @default.
- W2100053953 cites W2009532511 @default.
- W2100053953 cites W2018332268 @default.
- W2100053953 cites W2019794334 @default.
- W2100053953 cites W2028349405 @default.
- W2100053953 cites W2033911870 @default.
- W2100053953 cites W2043022774 @default.
- W2100053953 cites W2054640142 @default.
- W2100053953 cites W2070011455 @default.
- W2100053953 cites W2071723133 @default.
- W2100053953 cites W2079756223 @default.
- W2100053953 cites W2092543127 @default.
- W2100053953 cites W2105282667 @default.
- W2100053953 cites W2106125561 @default.
- W2100053953 cites W2108171241 @default.
- W2100053953 cites W2109030076 @default.
- W2100053953 cites W2109952872 @default.
- W2100053953 cites W2110505738 @default.
- W2100053953 cites W2113920645 @default.
- W2100053953 cites W2115706991 @default.
- W2100053953 cites W2117853853 @default.
- W2100053953 cites W2122714239 @default.
- W2100053953 cites W2122768752 @default.
- W2100053953 cites W2130137004 @default.
- W2100053953 cites W2131149148 @default.
- W2100053953 cites W2140742952 @default.
- W2100053953 cites W2145568341 @default.
- W2100053953 cites W2148688551 @default.
- W2100053953 cites W2149287117 @default.
- W2100053953 cites W2151214478 @default.
- W2100053953 cites W2151514667 @default.
- W2100053953 cites W2154688547 @default.
- W2100053953 cites W2156447271 @default.
- W2100053953 cites W3003915866 @default.
- W2100053953 cites W4213316114 @default.
- W2100053953 cites W4255272544 @default.
- W2100053953 cites W4255521522 @default.
- W2100053953 doi "https://doi.org/10.1109/tsp.2009.2026077" @default.
- W2100053953 hasPublicationYear "2009" @default.
- W2100053953 type Work @default.
- W2100053953 sameAs 2100053953 @default.
- W2100053953 citedByCount "80" @default.
- W2100053953 countsByYear W21000539532012 @default.
- W2100053953 countsByYear W21000539532013 @default.
- W2100053953 countsByYear W21000539532014 @default.
- W2100053953 countsByYear W21000539532015 @default.
- W2100053953 countsByYear W21000539532016 @default.
- W2100053953 countsByYear W21000539532017 @default.
- W2100053953 countsByYear W21000539532018 @default.
- W2100053953 countsByYear W21000539532019 @default.
- W2100053953 countsByYear W21000539532020 @default.
- W2100053953 countsByYear W21000539532021 @default.
- W2100053953 countsByYear W21000539532022 @default.
- W2100053953 countsByYear W21000539532023 @default.
- W2100053953 crossrefType "journal-article" @default.
- W2100053953 hasAuthorship W2100053953A5017827397 @default.
- W2100053953 hasAuthorship W2100053953A5062845079 @default.
- W2100053953 hasAuthorship W2100053953A5090426136 @default.
- W2100053953 hasBestOaLocation W21000539534 @default.
- W2100053953 hasConcept C105795698 @default.
- W2100053953 hasConcept C106430172 @default.
- W2100053953 hasConcept C112633086 @default.
- W2100053953 hasConcept C11413529 @default.
- W2100053953 hasConcept C115961682 @default.
- W2100053953 hasConcept C126255220 @default.
- W2100053953 hasConcept C147764199 @default.
- W2100053953 hasConcept C154945302 @default.
- W2100053953 hasConcept C174576160 @default.
- W2100053953 hasConcept C30044814 @default.
- W2100053953 hasConcept C33923547 @default.
- W2100053953 hasConcept C41008148 @default.
- W2100053953 hasConcept C4199805 @default.
- W2100053953 hasConcept C45347329 @default.
- W2100053953 hasConcept C47432892 @default.
- W2100053953 hasConcept C50644808 @default.
- W2100053953 hasConcept C9417928 @default.
- W2100053953 hasConcept C99498987 @default.
- W2100053953 hasConceptScore W2100053953C105795698 @default.
- W2100053953 hasConceptScore W2100053953C106430172 @default.
- W2100053953 hasConceptScore W2100053953C112633086 @default.
- W2100053953 hasConceptScore W2100053953C11413529 @default.
- W2100053953 hasConceptScore W2100053953C115961682 @default.
- W2100053953 hasConceptScore W2100053953C126255220 @default.
- W2100053953 hasConceptScore W2100053953C147764199 @default.
- W2100053953 hasConceptScore W2100053953C154945302 @default.