International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Overview of the Face Recognition Grand Challenge
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Hallucinating Faces: TensorPatch Super-Resolution and Coupled Residue Compensation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Learning Sparse Overcomplete Codes for Images
Journal of VLSI Signal Processing Systems
Face Hallucination: Theory and Practice
International Journal of Computer Vision
-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Compressed Sensing and Redundant Dictionaries
IEEE Transactions on Information Theory
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
IEEE Transactions on Image Processing
Fast and robust multiframe super resolution
IEEE Transactions on Image Processing
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
IEEE Transactions on Image Processing
A shrinkage learning approach for single image super-resolution with overcomplete representations
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Demosaicking and zooming for color filter array via residual image reconstruction
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Locally affine patch mapping and global refinement for image super-resolution
Pattern Recognition
A compressed sensing approach for MR tissue contrast synthesis
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
High resolution segmentation of neuronal tissues from low depth-resolution EM imagery
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Learning the states: a brain inspired neural model
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Image super resolution using sparse image and singular values as priors
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
On single image scale-up using sparse-representations
Proceedings of the 7th international conference on Curves and Surfaces
Image deblocking via sparse representation
Image Communication
Dictionary Learning for Noisy and Incomplete Hyperspectral Images
SIAM Journal on Imaging Sciences
Example-based single image enhanced up-sampling
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Enhancing face recognition at a distance using super resolution
Proceedings of the on Multimedia and security
Sparse representation based face image super-resolution
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Blind image deblurring based on dictionary replacing
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Super-resolution texture synthesis using stochastic PAR/NL model
Journal of Visual Communication and Image Representation
Model-based adaptive resolution upconversion of degraded images
Journal of Visual Communication and Image Representation
Computers and Electrical Engineering
Face hallucination based on morphological component analysis
Signal Processing
Image super-resolution by textural context constrained visual vocabulary
Image Communication
Patch based synthesis for single depth image super-resolution
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
A Bayesian approach to alignment-based image hallucination
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Non-local means resolution enhancement of lung 4D-CT data
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Atlas construction via dictionary learning and group sparsity
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Self-content super-resolution for ultra-HD up-sampling
Proceedings of the 9th European Conference on Visual Media Production
Fast image deconvolution using closed-form thresholding formulas of Lq(q=12,23) regularization
Journal of Visual Communication and Image Representation
Super resolution via sparse representation in l1 framework
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Super-resolution of single text image by sparse representation
Proceeding of the workshop on Document Analysis and Recognition
A survey of face hallucination
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Human face super-resolution based on NSCT
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Image upscaling using multiple dictionaries of natural image patches
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Image super-resolution using local learnable kernel regression
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Single image super resolution reconstruction in perturbed exemplar sub-space
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Image super-resolution: use of self-learning and gabor prior
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Face hallucination on personal photo albums
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Feature-domain super-resolution for iris recognition
Computer Vision and Image Understanding
An image super-resolution scheme based on compressive sensing with PCA sparse representation
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
Single image super-resolution based on space structure learning
Pattern Recognition Letters
Face hallucination based on sparse local-pixel structure
Pattern Recognition
Robust face recognition via occlusion dictionary learning
Pattern Recognition
Engineering Applications of Artificial Intelligence
Neurocomputing
Low-resolution face recognition: a review
The Visual Computer: International Journal of Computer Graphics
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This paper presents a new approach to single-image superresolution, based upon sparse signal representation. Research on image statistics suggests that image patches can be well-represented as a sparse linear combination of elements from an appropriately chosen over-complete dictionary. Inspired by this observation, we seek a sparse representation for each patch of the low-resolution input, and then use the coefficients of this representation to generate the high-resolution output. Theoretical results from compressed sensing suggest that under mild conditions, the sparse representation can be correctly recovered from the downsampled signals. By jointly training two dictionaries for the low- and high-resolution image patches, we can enforce the similarity of sparse representations between the low-resolution and high-resolution image patch pair with respect to their own dictionaries. Therefore, the sparse representation of a low-resolution image patch can be applied with the high-resolution image patch dictionary to generate a high-resolution image patch. The learned dictionary pair is a more compact representation of the patch pairs, compared to previous approaches, which simply sample a large amount of image patch pairs [1], reducing the computational cost substantially. The effectiveness of such a sparsity prior is demonstrated for both general image super-resolution (SR) and the special case of face hallucination. In both cases, our algorithm generates high-resolution images that are competitive or even superior in quality to images produced by other similar SR methods. In addition, the local sparse modeling of our approach is naturally robust to noise, and therefore the proposed algorithm can handle SR with noisy inputs in a more unified framework.