Complex wavelet regularization for solving inverse problems in remote sensing

Mikael Carlavan (1) , Pierre Weiss (1) , Laure Blanc-Féraud (1) , Josiane Zerubia (1)

1 ARIANA - Inverse problems in earth monitoring

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.

Domaines: Traitement des images [eess.IV]

Mikael Carlavan, Pierre Weiss, Laure Blanc-Féraud, Josiane Zerubia. Complex wavelet regularization for solving inverse problems in remote sensing. IGARSS, Jul 2009, Cape Town, South Africa. ⟨inria-00417708⟩