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IGARSS
2009

Complex Wavelet Regularization for Solving Inverse Problems in Remote Sensing

9 years 5 months ago
Complex Wavelet Regularization for Solving Inverse Problems in Remote Sensing
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.
Mikael Carlavan, Pierre Weiss, Laure Blanc-F&eacut
Added 20 Feb 2011
Updated 20 Feb 2011
Type Journal
Year 2009
Where IGARSS
Authors Mikael Carlavan, Pierre Weiss, Laure Blanc-Féraud, Josiane Zerubia
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