Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Fast texture synthesis using tree-structured vector quantization
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Missing data correction in still images and image sequences
Proceedings of the tenth ACM international conference on Multimedia
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Fragment-based image completion
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2003 Papers
Learning How to Inpaint from Global Image Statistics
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Inference of Segmented Color and Texture Description by Tensor Voting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Non-Local Algorithm for Image Denoising
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Unsupervised, Information-Theoretic, Adaptive Image Filtering for Image Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Space-Time Completion of Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Image Inpainting Based on Coherence Transport
Journal of Mathematical Imaging and Vision
Non-local Regularization of Inverse Problems
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Manifold models for signals and images
Computer Vision and Image Understanding
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
Diffusion Interpretation of Nonlocal Neighborhood Filters for Signal Denoising
SIAM Journal on Imaging Sciences
Filling-in by joint interpolation of vector fields and gray levels
IEEE Transactions on Image Processing
Disocclusion: a variational approach using level lines
IEEE Transactions on Image Processing
Simultaneous structure and texture image inpainting
IEEE Transactions on Image Processing
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning
IEEE Transactions on Image Processing
Efficient Nonlocal Means for Denoising of Textural Patterns
IEEE Transactions on Image Processing
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
Error concealment method selection in texture images using advanced local binary patterns classifier
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Self-similarity-based image denoising
Communications of the ACM
Missing texture reconstruction method based on perceptually optimized algorithm
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
A fast implementation algorithm of TV inpainting model based on operator splitting method
Computers and Electrical Engineering
Locally Parallel Texture Modeling
SIAM Journal on Imaging Sciences
Nonlinear Multilayered Representation of Graph-Signals
Journal of Mathematical Imaging and Vision
Local joint entropy based non-rigid multimodality image registration
Pattern Recognition Letters
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Non-local methods for image denoising and inpainting have gained considerable attention in recent years. This is in part due to their superior performance in textured images, a known weakness of purely local methods. Local methods on the other hand have demonstrated to be very appropriate for the recovering of geometric structure such as image edges. The synthesis of both types of methods is a trend in current research. Variational analysis in particular is an appropriate tool for a unified treatment of local and non-local methods. In this work we propose a general variational framework for the problem of non-local image inpainting, from which several previous inpainting schemes can be derived, in addition to leading to novel ones. We explicitly study some of these, relating them to previous work and showing results on synthetic and real images.