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Regularization of inverse problems in image processing
Rédaction : fin 2011. Soutenance : mars 2012. -
MCALab: Reproducible Research in Signal and Image Decomposition and Inpainting
International audience -
3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Trans...
International audience -
An Optimal Approach for Measuring the Integrated Sachs Wolfe Effect
International audience -
An overview of inverse problem regularization using sparsity
International audience -
Development of an Innovative System for the Reconstruction of New Generation ...
Remote sensing satellites have demonstrated to be a helpful instrument. Indeed, satellite images have been successfully exploited to deal with several applications... -
Image Restoration During Foggy and Rainy Weather : Applications for Driver As...
Advanced Driver Assistance Systems (ADAS) are designed to assist the driver and in particular to improve road safety. For this purpose, various sensors are typically... -
Object removal and loss concealment using neighbor embedding
International audience -
Image inpainting: Overview and recent advances
International audience -
Empirical Mode Decomposition: Contribution to Mathematical Modeling and Appli...
The EMD technique is a new tool for representing non linear and non-stationary signal as a sum of components called Intrinsic Mode Functions (IMF). The EMD... -
Inpainting and zooming using sparse representations
International audience -
Spatial patch blending for artefact reduction in pattern-based inpainting tec...
International audience -
A Fast Spatial Patch Blending Algorithm for Artefact Reduction in Pattern-bas...
International audience -
Dictionary learning based sinogram inpainting for CT sparse reconstruction
International audience
