Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
Edge Direction Preserving Image Zooming: A Mathematical and Numerical Analysis
SIAM Journal on Numerical Analysis
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
An Edge Preserving Locally Adaptive Anti-aliasing Zooming Algorithm with Diffused Interpolation
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
Image interpolation using across-scale pixel correlation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
The Group-Lasso for generalized linear models: uniqueness of solutions and efficient algorithms
Proceedings of the 25th international conference on Machine learning
Consistency of the Group Lasso and Multiple Kernel Learning
The Journal of Machine Learning Research
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
On the reconstruction of block-sparse signals with an optimal number of measurements
IEEE Transactions on Signal Processing
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
Robust recovery of signals from a structured union of subspaces
IEEE Transactions on Information Theory
Block-sparse signals: uncertainty relations and efficient recovery
IEEE Transactions on Signal Processing
Structured Variable Selection with Sparsity-Inducing Norms
The Journal of Machine Learning Research
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
IEEE Transactions on Information Theory
Information Theory and Mixing Least-Squares Regressions
IEEE Transactions on Information Theory
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
IEEE Transactions on Information Theory
Regularity-preserving image interpolation
IEEE Transactions on Image Processing
MOMS: maximal-order interpolation of minimal support
IEEE Transactions on Image Processing
Least-squares image resizing using finite differences
IEEE Transactions on Image Processing
New edge-directed interpolation
IEEE Transactions on Image Processing
Image up-sampling using total-variation regularization with a new observation model
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
An edge-guided image interpolation algorithm via directional filtering and data fusion
IEEE Transactions on Image Processing
Kernel Regression for Image Processing and Reconstruction
IEEE Transactions on Image Processing
A New Orientation-Adaptive Interpolation Method
IEEE Transactions on Image Processing
Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation
IEEE Transactions on Image Processing
Subpixel edge localization and the interpolation of still images
IEEE Transactions on Image Processing
Contour Stencils: Total Variation along Curves for Adaptive Image Interpolation
SIAM Journal on Imaging Sciences
On single image scale-up using sparse-representations
Proceedings of the 7th international conference on Curves and Surfaces
An automatic image scaling up algorithm
MCPR'12 Proceedings of the 4th Mexican conference on Pattern Recognition
Greedy regression in sparse coding space for single-image super-resolution
Journal of Visual Communication and Image Representation
Anisotropic Probabilistic Neural Network for Image Interpolation
Journal of Mathematical Imaging and Vision
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We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calculated over blocks of coefficients in a frame providing a sparse signal representation. They minimize an l1 norm taking into account the signal regularity in each block. Adaptive directional image interpolations are computed over a wavelet frame with an O(N log N) algorithm, providing state-of-the-art numerical results.