Manifold models for signals and images
Computer Vision and Image Understanding
Exemplar-Based Interpolation of Sparsely Sampled Images
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
A Variational Framework for Non-local Image Inpainting
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Color Image Restoration Using Nonlocal Mumford-Shah Regularizers
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Image Recovery via Nonlocal Operators
Journal of Scientific Computing
Iterative weighted maximum likelihood denoising with probabilistic patch-based weights
IEEE Transactions on Image Processing
Image inpainting with a learned guidance vector field
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
IEEE Transactions on Signal Processing
Generalised Nonlocal Image Smoothing
International Journal of Computer Vision
A groupwise super-resolution approach: application to brain MRI
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
A comprehensive framework for image inpainting
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Non-local kernel regression for image and video restoration
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
A spectral approach to nonlocal mesh editing
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
An MLP neural net with L1 and L2 regularizers for real conditions of deblurring
EURASIP Journal on Advances in Signal Processing
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
SIAM Journal on Imaging Sciences
A Variational Framework for Exemplar-Based Image Inpainting
International Journal of Computer Vision
Scale space multiresolution analysis of random signals
Computational Statistics & Data Analysis
Texture segmentation via non-local non-parametric active contours
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Hierarchical representation of discrete data on graphs
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
A Variational Framework for Structure from Motion in Omnidirectional Image Sequences
Journal of Mathematical Imaging and Vision
Computer Vision and Image Understanding
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
How to Compare Noisy Patches? Patch Similarity Beyond Gaussian Noise
International Journal of Computer Vision
A Nonlocal Version of the Osher-Solé-Vese Model
Journal of Mathematical Imaging and Vision
Super-resolution texture synthesis using stochastic PAR/NL model
Journal of Visual Communication and Image Representation
Variational nonlocal image segmentation using split-Bregman
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Nonlinear Multilayered Representation of Graph-Signals
Journal of Mathematical Imaging and Vision
A class of quasi-variational inequalities for adaptive image denoising and decomposition
Computational Optimization and Applications
A learning-based method for compressive image recovery
Journal of Visual Communication and Image Representation
A New Nonlocal H1 Model for Image Denoising
Journal of Mathematical Imaging and Vision
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This article proposes a new framework to regularize linear inverse problems using the total variation on non-local graphs. This non-local graph allows to adapt the penalization to the geometry of the underlying function to recover. A fast algorithm computes iteratively both the solution of the regularization process and the non-local graph adapted to this solution. We show numerical applications of this method to the resolution of image processing inverse problems such as inpainting, super-resolution and compressive sampling.