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Algorithms based on sparsity hypotheses for robust estimation of the noise st...
Inmany applications, d-dimensional observations result fromthe randompresenceor absence of randomsignals in independent and additivewhite Gaussiannoise. An estimate of... -
Generalized Tree-Based Wavelet Transform
International audience -
Joint coding-denoising optimization of noisy images
In this paper, we propose to study the problem of noisy source coding/denoising. The challenge of this problem is that a global optimization is usually difficult to... -
SURE Guided Gaussian Mixture Image Denoising
The Gaussian mixture is a patch prior that has enjoyed tremendous success in image processing. In this work, by using Gaussian factor modeling, its dedicated... -
Regularization of inverse problems in image processing
Rédaction : fin 2011. Soutenance : mars 2012. -
Image Representations for Pattern Recognition
One of the main requirements in many signal processing applications is to have a "meaningful representation'' in which signal's characteristics are readily apparent.... -
Improving abdomen tumor low-dose CT images using dictionary learning based pa...
International audience -
L1C1 polynomial spline approximation algorithms for large data sets
International audience -
Poisson noise reduction with non-local PCA
International audience
