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A recursive soft-decision approach to blind image deconvolution

Author
YAP, Kim-Hui1 ; LING GUAN2 ; WANQUAN LIU3
[1] School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
[2] Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, M5B 2K3, Canada
[3] School of Computing, Curtin University of Technology, Perth, Australia
Source

IEEE transactions on signal processing. 2003, Vol 51, Num 2, pp 515-526, 12 p ; ref : 33 ref

CODEN
ITPRED
ISSN
1053-587X
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Algorithme adaptatif Déconvolution Estimation a posteriori Image floue Méthode gradient conjugué Méthode récursive Optimisation Restauration image Réseau neuronal Traitement image
Keyword (en)
Adaptive algorithm Deconvolution A posteriori estimation Blurred image Conjugate gradient method Recursive method Optimization Image restoration Neural network Image processing
Keyword (es)
Algoritmo adaptativo Desconvolución Estimación a posteriori Imagen borrosa Método gradiente conjugado Método recursivo Optimización Restauración imagen Red neuronal Procesamiento imagen
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
14533815

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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