Unsupervised texture segmentation using Gabor filters
Pattern Recognition
Moment-based texture segmentation
Pattern Recognition Letters
Pyramid-based texture analysis/synthesis
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Multiresolution sampling procedure for analysis and synthesis of texture images
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
International Journal of Computer Vision
Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Convergence of a block coordinate descent method for nondifferentiable minimization
Journal of Optimization Theory and Applications
Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation
International Journal of Computer Vision
Texture Mixing and Texture Movie Synthesis Using Statistical Learning
IEEE Transactions on Visualization and Computer Graphics
Dictionary learning algorithms for sparse representation
Neural Computation
Independent Component Analysis of Textures
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallel controllable texture synthesis
ACM SIGGRAPH 2005 Papers
Texture design using a simplicial complex of morphable textures
ACM SIGGRAPH 2005 Papers
Texture optimization for example-based synthesis
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2005 Papers
Learning Overcomplete Representations
Neural Computation
Appearance-space texture synthesis
ACM SIGGRAPH 2006 Papers
Method of optimal directions for frame design
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 05
Texture classification using sparse frame-based representations
EURASIP Journal on Applied Signal Processing
ACM SIGGRAPH 2008 papers
Manifold models for signals and images
Computer Vision and Image Understanding
Inpainting and Zooming Using Sparse Representations
The Computer Journal
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Sparse and Redundant Modeling of Image Content Using an Image-Signature-Dictionary
SIAM Journal on Imaging Sciences
Iterated nonlocal means for texture restoration
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Non-negative sparse modeling of textures
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Selection of ICA features for texture classification
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
IEEE Transactions on Signal Processing
Greed is good: algorithmic results for sparse approximation
IEEE Transactions on Information Theory
Just relax: convex programming methods for identifying sparse signals in noise
IEEE Transactions on Information Theory
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
Sparse Representation for Color Image Restoration
IEEE Transactions on Image Processing
Manifold models for signals and images
Computer Vision and Image Understanding
Online Learning for Matrix Factorization and Sparse Coding
The Journal of Machine Learning Research
The role of sparse data representation in semantic image understanding
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Learning the Morphological Diversity
SIAM Journal on Imaging Sciences
Learning adaptive and sparse representations of medical images
MCV'10 Proceedings of the 2010 international MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging
The Sample Complexity of Dictionary Learning
The Journal of Machine Learning Research
Tensor based sparse decomposition of 3D shape for visual detection of mirror symmetry
Computer Methods and Programs in Biomedicine
Dictionary learning for image prediction
Journal of Visual Communication and Image Representation
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This paper presents a generative model for textures that uses a local sparse description of the image content. This model enforces the sparsity of the expansion of local texture patches on adapted atomic elements. The analysis of a given texture within this framework performs the sparse coding of all the patches of the texture into the dictionary of atoms. Conversely, the synthesis of a new texture is performed by solving an optimization problem that seeks for a texture whose patches are sparse in the dictionary. This paper explores several strategies to choose this dictionary. A set of hand crafted dictionaries composed of edges, oscillations, lines or crossings elements allows to synthesize synthetic images with geometric features. Another option is to define the dictionary as the set of all the patches of an input exemplar. This leads to computer graphics methods for synthesis and shares some similarities with non-local means filtering. The last method we explore learns the dictionary by an optimization process that maximizes the sparsity of a set of exemplar patches. Applications of all these methods to texture synthesis, inpainting and classification shows the efficiency of the proposed texture model.