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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DOI
10.1109/TSP.2002.806985 
https://dx.doi.org/10.1109/TSP.2002.806985
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