Abstract of "L1 Prior Majorization In Bayesian Image Restoration"

M. Vega and R. Molina and A.K. Katsaggelos, “L1 Prior Majorization In Bayesian Image Restoration”

@INPROCEEDINGS{, author = {M. Vega and R. Molina and A.K. Katsaggelos}, title = {L1 Prior Majorization In Bayesian Image Restoration}, booktitle = {16th International Conference on Digital Signal Processing (DSP 2009)}, year = {2009}, editor = {IEEE}, volume = {}, pages = {1-6}, month = {July}, organization = {Santorini (Greece)}, url = { http://decsai.ugr.es/vip/files/conferences/IEEEXplore(2).pdf }, annote = {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.} }