A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution
- Autor
- PELEG, Tomer1 ; ELAD, Michael2
[1] Department of Electrical Engineering, Technion ― Israel Institute of Technology, Haifa 32000, Israel
[2] Computer Science Department, Technion ― Israel Institute of Technology, Haifa 32000, Israel - Fuente
IEEE transactions on image processing. 2014, Vol 23, Num 5-6, pp 2569-2582, 14 p ; ref : 37 ref
- ISSN
- 1057-7149
- Campo Científico
- Telecommunications
- Editor
- Institute of Electrical and Electronics Engineers, New York, NY
- País de la publicación
- United States
- Tipo de documento
- Article
- Idioma
- English
- Palabra clave de autor
- Dictionary learning MMSE estimation feedforward neural networks nonlinear prediction restricted Boltzmann machine single image super-resolution sparse representations statistical models zooming deblurring
- Palabra clave (fr)
- Algorithme Apprentissage Basse résolution Classification automatique Classification signal Complexité calcul Dictionnaire Erreur quadratique moyenne Etat actuel Evaluation performance Haute résolution Image floue Invariance Modèle statistique Qualité image Représentation parcimonieuse Restauration image Réseau neuronal non bouclé Résolution image Superrésolution Zoom Traitement image
- Palabra clave (in)
- Algorithm Learning Low resolution Automatic classification Signal classification Computational complexity Dictionaries Mean square error State of the art Performance evaluation High resolution Blurred image Invariance Statistical model Image quality Sparse representation Image restoration Feedforward neural nets Image resolution Superresolution Zoom Image processing
- Palabra clave (es)
- Algoritmo Aprendizaje Baja resolución Clasificación automática Complejidad computación Diccionario Error medio cuadrático Estado actual Evaluación prestación Alta resolucion Imagen borrosa Invarianza Modelo estadístico Calidad imagen Representación parsimoniosa Restauración imagen Resolución imagen Superresolución Zoom Procesamiento imagen
- Clasificación
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction
- 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
- Disciplina
- Computer science : theoretical automation and systems Telecommunications and information theory
- Procedencia
- Inist-CNRS
- Base de datos
- PASCAL
- Identificador INIST
- 28528607
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/TIP.2014.2305844 
https://dx.doi.org/10.1109/TIP.2014.2305844
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