Super-Resolution Reconstruction of Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
An MRF-Based Approach to Generation of Super-Resolution Images from Blurred Observations
Journal of Mathematical Imaging and Vision
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
Is Super-Resolution with Optical Flow Feasible?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
A New Algorithm for Super-Resolution from Image Sequences
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Automatic Mosaicing with Super-Resolution Zoom
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A super-resolution method with EWA
Journal of Computer Science and Technology
Super-resolution reconstruction of image sequence using multiple motion estimation fusion
Journal of Computer Science and Technology
Video Super-Resolution Using Controlled Subpixel Detector Shifts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Super-Resolution Image Restoration from Blurred Low-Resolution Images
Journal of Mathematical Imaging and Vision
Super-resolution with integrated radial distortion correction
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
A Super-Resolution Imaging Method Based on Dense Subpixel-Accurate Motion Fields
Journal of VLSI Signal Processing Systems
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
Proceedings of the 2006 international conference on Wireless communications and mobile computing
A hybrid parallel projection approach to object-based image restoration
Pattern Recognition Letters
Hallucinating multiple occluded face images of different resolutions
Pattern Recognition Letters
Hallucinating multiple occluded face images of different resolutions
Pattern Recognition Letters - Special issue on vision for crime detection and prevention
An efficient algorithm for superresolution in medium field imaging
Multidimensional Systems and Signal Processing
Single frame image super-resolution: should we process locally or globally?
Multidimensional Systems and Signal Processing
Super-resolution reconstruction in a computational compound-eye imaging system
Multidimensional Systems and Signal Processing
A fast algorithm for image super-resolution from blurred observations
EURASIP Journal on Applied Signal Processing
Super-resolution using hidden Markov model and Bayesian detection estimation framework
EURASIP Journal on Applied Signal Processing
Subpixel registration directly from the phase difference
EURASIP Journal on Applied Signal Processing
Video-to-video dynamic super-resolution for grayscale and color sequences
EURASIP Journal on Applied Signal Processing
A frequency domain approach to registration of aliased images with application to super-resolution
EURASIP Journal on Applied Signal Processing
Single-frame image super-resolution through contourlet learning
EURASIP Journal on Applied Signal Processing
Low-cost super-resolution algorithms implementation over a HW/SW video compression platform
EURASIP Journal on Applied Signal Processing
Super-resolution mosaicing from MPEG compressed video
Image Communication
Overcoming registration uncertainty in image super-resolution: maximize or marginalize?
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Advances in Signal Processing
Robust color image superresolution: an adaptive M-estimation framework
Journal on Image and Video Processing - Color in Image and Video Processing
Limits of Learning-Based Superresolution Algorithms
International Journal of Computer Vision
ACM Transactions on Graphics (TOG)
A soft MAP framework for blind super-resolution image reconstruction
Image and Vision Computing
2D motion aided sampling and reconstruction
Journal of Visual Communication and Image Representation
A wavelet based entropic approach to high-resolution reconstruction of images
Machine Graphics & Vision International Journal
An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Robust Super-Resolution Using a Median Filter for Irregular Samples
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Superresolution reconstruction using nonlinear gradient-based regularization
Multidimensional Systems and Signal Processing
Super-resolution image reconstruction for a steerable array of sub-imagers
Digital Signal Processing
Video Super Resolution Using Duality Based TV-L1 Optical Flow
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A PDE Approach to Coupled Super-Resolution with Non-parametric Motion
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
A multi-frame image super-resolution method
Signal Processing
A blind superresolution method that works for arbitrary motions and point spread functions
ISCGAV'09 Proceedings of the 9th WSEAS international conference on Signal processing, computational geometry and artificial vision
Super-Resolution of Moving Vehicles Using an Affine Motion Model
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
Resolution enhancement based on learning the sparse association of image patches
Pattern Recognition Letters
A super-resolution reconstruction algorithm for surveillance images
Signal Processing
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
SoftCuts: a soft edge smoothness prior for color image super-resolution
IEEE Transactions on Image Processing
Bayesian separation of images modeled with MRFs using MCMC
IEEE Transactions on Image Processing
Adaptive large scale artifact reduction in edge-based image super-resolution
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Improved super-resolution method by dense motion estimation using overlapped block matching
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Video Super-Resolution by Adaptive Kernel Regression
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
An Efficient Upsampling Technique for Images and Videos
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
MRI resolution enhancement using total variation regularization
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Adaptive frame selection for improved face recognition in low-resolution videos
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Fast MAP-based multiframe super-resolution image reconstruction
Image and Vision Computing
Analysis of multiframe super-resolution reconstruction for image anti-aliasing and deblurring
Image and Vision Computing
Search for a computationally efficient image super-resolution algorithm
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Robust orientation diffusion via pca method and application to image super-resolution reconstruction
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Video enhancement using a robust iterative SRR based on Leclerc stochastic estimation
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Super-resolution with continuous scan shift
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Maximum a posteriori video super-resolution using a new multichannel image prior
IEEE Transactions on Image Processing
New learning based super-resolution: use of DWT and IGMRF prior
IEEE Transactions on Image Processing
New learning based super-resolution: use of DWT and IGMRF prior
IEEE Transactions on Image Processing
Robust mean super-resolution for less cooperative NIR iris recognition at a distance and on the move
Proceedings of the 2010 Symposium on Information and Communication Technology
Performance of reconstruction-based super-resolution with regularization
Journal of Visual Communication and Image Representation
Efficient Fourier-wavelet super-resolution
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Jitter camera: high resolution video from a low resolution detector
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Adaptive multiple-frame image super-resolution based on U-curve
IEEE Transactions on Image Processing
Directionally adaptive single frame image super resolution
International Journal of Innovative Computing and Applications
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
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Direct energy minimization for super-resolution on nonlinear manifolds
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Wavelet-based super-resolution reconstruction: theory and algorithm
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
An iterative method for preserving edges and reducing noise in high resolution image reconstruction
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A VQ-Based blind super-resolution algorithm
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Super-Resolution reconstruction from fluorescein angiogram sequences
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Eigentransformation-based face super-resolution in the wavelet domain
Pattern Recognition Letters
Iterative super-resolution reconstruction using modified subgradient method
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Multi-scale MAP estimation of high-resolution images
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Edge model based high resolution image generation
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Morphable model space based face super-resolution reconstruction and recognition
Image and Vision Computing
A super-resolution reconstruction algorithm for hyperspectral images
Signal Processing
Numerical methods for A-optimal designs with a sparsity constraint for ill-posed inverse problems
Computational Optimization and Applications
Example-based single image enhanced up-sampling
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
VAST'04 Proceedings of the 5th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
Laser scanner super-resolution
SPBG'06 Proceedings of the 3rd Eurographics / IEEE VGTC conference on Point-Based Graphics
Solving the inverse problem of image zooming using "self-examples"
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Bayesian combination of sparse and non-sparse priors in image super resolution
Digital Signal Processing
Image upscaling using multiple dictionaries of natural image patches
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Feature-domain super-resolution for iris recognition
Computer Vision and Image Understanding
Face hallucination based on sparse local-pixel structure
Pattern Recognition
A Comprehensive Survey to Face Hallucination
International Journal of Computer Vision
Low-resolution face recognition: a review
The Visual Computer: International Journal of Computer Graphics
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The three main tools in the single image restoration theory are the maximum likelihood (ML) estimator, the maximum a posteriori probability (MAP) estimator, and the set theoretic approach using projection onto convex sets (POCS). This paper utilizes the above known tools to propose a unified methodology toward the more complicated problem of superresolution restoration. In the superresolution restoration problem, an improved resolution image is restored from several geometrically warped, blurred, noisy and downsampled measured images. The superresolution restoration problem is modeled and analyzed from the ML, the MAP, and POCS points of view, yielding a generalization of the known superresolution restoration methods. The proposed restoration approach is general but assumes explicit knowledge of the linear space- and time-variant blur, the (additive Gaussian) noise, the different measured resolutions, and the (smooth) motion characteristics. A hybrid method combining the simplicity of the ML and the incorporation of nonellipsoid constraints is presented, giving improved restoration performance, compared with the ML and the POCS approaches. The hybrid method is shown to converge to the unique optimal solution of a new definition of the optimization problem. Superresolution restoration from motionless measurements is also discussed. Simulations demonstrate the power of the proposed methodology