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.
L1 prior majorization in Bayesian image restoration [link]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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