DocumentCode :
394588
Title :
Parameter estimation in super-resolution image reconstruction problems
Author :
Abad, Javier ; Vega, M. ; Molina, Rafael ; Katsaggelos, Aggelos K.
Author_Institution :
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
Volume :
3
fYear :
2003
fDate :
6-10 April 2003
Abstract :
We consider the estimation of the unknown hyperparameters for the problem of reconstructing a high-resolution image from multiple undersampled, shifted, degraded frames with subpixel displacement errors. We derive mathematical expressions for the iterative calculation of the maximum likelihood estimate (MLE) of the unknown hyperparameters given the low resolution observed images. Experimental results are presented for evaluating the accuracy of the proposed method.
Keywords :
image reconstruction; image resolution; iterative methods; maximum likelihood estimation; high-resolution image; hyperparameters; image resolution; iterative calculation; maximum likelihood estimation; parameter estimation; super-resolution image reconstruction; Degradation; High-resolution imaging; Image reconstruction; Image resolution; Image sensors; Optical devices; Optical imaging; Parameter estimation; Pixel; Sensor arrays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1199573
Filename :
1199573
Link To Document :
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