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