TY - GEN
T1 - Bayesian super-resolution of text image sequences from low resolution observations
AU - Cortijo, Francisco J.
AU - Villena, Salvador
AU - Molina, Rafael
AU - Katsaggelos, Aggelos
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2003
Y1 - 2003
N2 - This paper deals with the problem of reconstructing high-resolution text images from an incomplete set of under-sampled, blurred, and noisy images shifted with subpixel displacement. We derive mathematical expressions for the calculation of the maximum a posteriori estimate of the high resolution image and the estimation of the parameters involved in the model. The method is tested on real text images and car plates, examining the impact of blurring and the number of available low resolution images on the final estimate.
AB - This paper deals with the problem of reconstructing high-resolution text images from an incomplete set of under-sampled, blurred, and noisy images shifted with subpixel displacement. We derive mathematical expressions for the calculation of the maximum a posteriori estimate of the high resolution image and the estimation of the parameters involved in the model. The method is tested on real text images and car plates, examining the impact of blurring and the number of available low resolution images on the final estimate.
UR - http://www.scopus.com/inward/record.url?scp=34249914302&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34249914302&partnerID=8YFLogxK
U2 - 10.1109/ISSPA.2003.1224730
DO - 10.1109/ISSPA.2003.1224730
M3 - Conference contribution
AN - SCOPUS:34249914302
SN - 0780379462
SN - 9780780379466
T3 - Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
SP - 421
EP - 424
BT - Proceedings - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
PB - IEEE Computer Society
T2 - 7th International Symposium on Signal Processing and Its Applications, ISSPA 2003
Y2 - 1 July 2003 through 4 July 2003
ER -