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Spatio-frequency noise distribution a priori for satellite, image joint denoising/deblurring

S. Tramini, M. Antonini, M. Barlaud, G. Aubert, B. Rouge, C. Latry
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)  
We propose a new multiresolution variational joint denoising/deblurring approach, involving a priori assumptions on the solution and knowledge of the imaging systems to account for effects due to acquisition  ...  The techniques used are drawn from a variety of areas of modern signal processing, including optimization theory, inverse problem, wavelet packets decomposition and bounded noise assumption.  ...  Typical denoising/deblurring methods are based on smoothing and stem from the notion that for a large class of images, the signal energy is compacted into a few transform coefficients and that noise contribute  ... 
doi:10.1109/icip.2000.899571 dblp:conf/icip/TraminiABARL00 fatcat:wlenp4xhtnfxtjaf2pqixjucq4