L1 prior majorization in Bayesian image restoration. Vega, M., Molina, R., & Katsaggelos, A. K. In 2009 16th International Conference on Digital Signal Processing, pages 1–6, jul, 2009. IEEE. Paper doi abstract bibtex Bayesian methods rely on image priors that encapsulate prior image knowledge and avoid the ill-posedness of image restoration problems. In this paper a new prior based on the l1 norm of vertical and horizontal first order differences of image pixel values is introduced and its parameters are estimated . The results obtained from its application studied and compared with the ones provided by other methods in the literature. © 2009 IEEE.
@inproceedings{Miguel2009,
abstract = {Bayesian methods rely on image priors that encapsulate prior image knowledge and avoid the ill-posedness of image restoration problems. In this paper a new prior based on the l1 norm of vertical and horizontal first order differences of image pixel values is introduced and its parameters are estimated . The results obtained from its application studied and compared with the ones provided by other methods in the literature. {\textcopyright} 2009 IEEE.},
author = {Vega, Miguel and Molina, Rafael and Katsaggelos, Aggelos K.},
booktitle = {2009 16th International Conference on Digital Signal Processing},
doi = {10.1109/ICDSP.2009.5201084},
isbn = {978-1-4244-3297-4},
month = {jul},
pages = {1--6},
publisher = {IEEE},
title = {{L1 prior majorization in Bayesian image restoration}},
url = {http://ieeexplore.ieee.org/document/5201084/},
year = {2009}
}
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