Abstract : Many problems in remote sensing can be modeled as the minimization of the sum of a data term and a prior term. We propose to use a new complex wavelet based prior and an efficient scheme to solve these problems. We show some results on a problem of image reconstruction with noise, irregular sampling and blur. We also show a comparison between two widely used priors in image processing: sparsity and regularity priors.
https://hal.inria.fr/inria-00417708 Contributor : Mikael CarlavanConnect in order to contact the contributor Submitted on : Wednesday, September 16, 2009 - 4:14:55 PM Last modification on : Sunday, May 1, 2022 - 3:14:35 AM Long-term archiving on: : Tuesday, October 16, 2012 - 11:00:38 AM