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Variational algorithms to remove stationary noise. Application to microscopy ...
International audience -
A Generalized Forward-Backward Splitting
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A penalized weighted least squares approach for restoring data corrupted with...
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Robust Sparse Analysis Regularization
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An adaptive total variation method for speckle reduction in medical ultrasoun...
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Epigraphical Projection and Proximal Tools for Solving Constrained Convex Opt...
We propose a proximal approach to deal with convex optimization problems involving nonlinear constraints. A large family of such constraints, proven to be effective in... -
An Augmented Lagrangian Method for TVg + L1-norm Minimization
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X-ray CT Image Reconstruction from Few Projections
To improve the safety (lower dose) and the productivity (faster acquisition) of an X-ray CT system, we want to reconstruct a high quality image from a small number of... -
Active Contours without Level Sets
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3D Microscopy Deconvolution using Richardson-Lucy Algorithm with Total Variat...
Confocal laser scanning microscopy is a powerful and increasingly popular technique for 3D imaging of biological specimens. However the acquired images are degraded by... -
Generalized Gradient on Vector Bundle - Application to Image Denoising
We introduce a gradient operator that generalizes the Euclidean and Riemannian gradients. This operator acts on sections of vector bundles and is determined by three... -
On continuous maximum flow image segmentation algorithm
In recent years, with the advance of computing equipment and image acquisition techniques, the sizes, dimensions and content of acquired images have increased... -
Regularization of inverse problems in image processing
Rédaction : fin 2011. Soutenance : mars 2012. -
TV-MIN AND GREEDY PURSUIT FOR CONSTRAINED JOINT SPARSITY AND APPLICATION TO I...
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The optimal Fourth Moment Theorem
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A variational approach to JPEG anti-forensics
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Identifying predictive regions from fMRI with TV-L1 prior
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Energy minimization methods
Energy minimization methods are a very popular tool in image and signal processing. This chapter deals with images defined on a discrete finite set. Energy... -
A proximal approach for signal recovery based on information measures
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PROCESSING STATIONARY NOISE: MODEL AND PARAMETER SELECTION IN VARIATIONAL MET...
International audience
