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Conference papers
Complex wavelet regularization for solving inverse problems in remote sensing
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.
Cited literature [17 references]
https://hal.inria.fr/inria-00417708
Contributor : Mikael Carlavan <>
Submitted on : Wednesday, September 16, 2009 - 4:14:55 PM
Last modification on : Monday, October 12, 2020 - 10:30:11 AM
Long-term archiving on: : Tuesday, October 16, 2012 - 11:00:38 AM
Contributor : Mikael Carlavan <>
Submitted on : Wednesday, September 16, 2009 - 4:14:55 PM
Last modification on : Monday, October 12, 2020 - 10:30:11 AM
Long-term archiving on: : Tuesday, October 16, 2012 - 11:00:38 AM
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IGARSS09.pdf
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