Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Example-based image super-resolution with class-specific predictors
Journal of Visual Communication and Image Representation
A multi-frame image super-resolution method
Signal Processing
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
Image quality assessment based on multiscale geometric analysis
IEEE Transactions on Image Processing
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
SIAM Journal on Imaging Sciences
Image super-resolution via sparse representation
IEEE Transactions on Image Processing
Image super-resolution based on multi-space sparse representation
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Exploiting self-similarities for single frame super-resolution
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Region-based weighted-norm with adaptive regularization for resolution enhancement
Digital Signal Processing
Image smoothing via L0 gradient minimization
Proceedings of the 2011 SIGGRAPH Asia Conference
Image super-resolution by curve fitting in the threshold decomposition domain
Journal of Visual Communication and Image Representation
Image quality assessment: from error visibility to structural similarity
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
Image Interpolation by Adaptive 2-D Autoregressive Modeling and Soft-Decision Estimation
IEEE Transactions on Image Processing
Markov Random Field Model-Based Edge-Directed Image Interpolation
IEEE Transactions on Image Processing
Graph Regularized Sparse Coding for Image Representation
IEEE Transactions on Image Processing
Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images
IEEE Transactions on Image Processing
Geometry constrained sparse coding for single image super-resolution
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Centralized sparse representation for image restoration
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian combination of sparse and non-sparse priors in image super resolution
Digital Signal Processing
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Methods based on sparse coding have been successfully used in single-image super-resolution reconstruction. However, they tend to reconstruct incorrectly the edge structure and lose the difference among the image patches to be reconstructed. To overcome these problems, we propose a new approach based on global non-zero gradient penalty and non-local Laplacian sparse coding. Firstly, we assume that the high resolution image consists of two components: the edge component and the texture component. Secondly, we develop the global non-zero gradient penalty to reconstruct correctly the edge component and the non-local Laplacian sparse coding to preserve the difference among texture component patches to be reconstructed respectively. Finally, we develop a global and local optimization on the initial image, which is composed of the reconstructed edge component and texture component, to remove possible artifacts. Experimental results demonstrate that the proposed approach can achieve more competitive single-image super-resolution quality compared with other state-of-the-art methods.