Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Atomic Decomposition by Basis Pursuit
SIAM Review
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
Learning How to Inpaint from Global Image Statistics
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Fields of Experts: A Framework for Learning Image Priors
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Image completion with structure propagation
ACM SIGGRAPH 2005 Papers
Object Categorization by Learned Universal Visual Dictionary
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Object Removal By Cross Isophotes Exemplar-based Inpainting
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Sparse Long-Range Random Field and Its Application to Image Denoising
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Inpainting and Zooming Using Sparse Representations
The Computer Journal
Image inpainting via sparse representation
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Non-negative sparse modeling of textures
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Image Repairing: robust image synthesis by adaptive ND tensor voting
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Performance measurement in blind audio source separation
IEEE Transactions on Audio, Speech, and Language Processing
Filling-in by joint interpolation of vector fields and gray levels
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 decomposition via the combination of sparse representations and a variational approach
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
IEEE Transactions on Image Processing
Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning
IEEE Transactions on Image Processing
Sparse Representation for Color Image Restoration
IEEE Transactions on Image Processing
Spatial error concealment with sequence-aligned texture modeling and adaptive directional recovery
Journal of Visual Communication and Image Representation
Virtual restoration of the ghent altarpiece using crack detection and inpainting
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Simultaneous inpainting for image structure and texture using anisotropic heat transfer model
Multimedia Tools and Applications
Robust Video Restoration by Joint Sparse and Low Rank Matrix Approximation
SIAM Journal on Imaging Sciences
Super-resolution-based inpainting
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Digital restoration of damaged mural images
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Multi-view synthesis based on single view reference layer
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
An efficient framework for image/video inpainting
Image Communication
Object removal and loss concealment using neighbor embedding methods
Image Communication
Pattern Recognition Letters
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This paper introduces a novel examplar-based inpainting algorithm through investigating the sparsity of natural image patches. Two novel concepts of sparsity at the patch level are proposed for modeling the patch priority and patch representation, which are two crucial steps for patch propagation in the examplar-based inpainting approach. First, patch structure sparsity is designed to measure the confidence of a patch located at the image structure (e.g., the edge or corner) by the sparseness of its nonzero similarities to the neighboring patches. The patch with larger structure sparsity will be assigned higher priority for further inpainting. Second, it is assumed that the patch to be filled can be represented by the sparse linear combination of candidate patches under the local patch consistency constraint in a framework of sparse representation. Compared with the traditional examplar-based inpainting approach, structure sparsity enables better discrimination of structure and texture, and the patch sparse representation forces the newly inpainted regions to be sharp and consistent with the surrounding textures. Experiments on synthetic and natural images show the advantages of the proposed approach.