Filters for common resampling tasks
Graphics gems
Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Improved resolution from subpixel shifted pictures
CVGIP: Graphical Models and Image Processing
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Optimization by Vector Space Methods
Optimization by Vector Space Methods
Digital Image Warping
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Super-Resolution and Applications to Mosaics
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Space-Time Adaptation for Patch-Based Image Sequence Restoration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A frequency domain approach to registration of aliased images with application to super-resolution
EURASIP Journal on Applied Signal Processing
Image sequence denoising via sparse and redundant representations
IEEE Transactions on Image Processing
Direct super-resolution and registration using raw CFA images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Extraction of high-resolution frames from video sequences
IEEE Transactions on Image Processing
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
IEEE Transactions on Image Processing
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Resolution enhancement of color video sequences
IEEE Transactions on Image Processing
Resolution enhancement of monochrome and color video using motion compensation
IEEE Transactions on Image Processing
A computationally efficient superresolution image reconstruction algorithm
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
On the origin of the bilateral filter and ways to improve it
IEEE Transactions on Image Processing
An EM algorithm for wavelet-based image restoration
IEEE Transactions on Image Processing
Fast and robust multiframe super resolution
IEEE Transactions on Image Processing
A spatially adaptive nonparametric regression image deblurring
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Efficient Huber-Markov Edge-Preserving Image Restoration
IEEE Transactions on Image Processing
A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution
IEEE Transactions on Image Processing
Kernel Regression for Image Processing and Reconstruction
IEEE Transactions on Image Processing
Super-resolution still and video reconstruction from MPEG-coded video
IEEE Transactions on Circuits and Systems for Video Technology
Manifold models for signals and images
Computer Vision and Image Understanding
An Efficient and Robust Algorithm for Improving the Resolution of Video Sequences
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Video Super Resolution Using Duality Based TV-L1 Optical Flow
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Exemplar-Based Interpolation of Sparsely Sampled Images
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
A Variational Framework for Non-local Image Inpainting
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Color Image Restoration Using Nonlocal Mumford-Shah Regularizers
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Super resolutionwith probabilistic motion estimation
IEEE Transactions on Image Processing
Super-resolution without explicit subpixel motion estimation
IEEE Transactions on Image Processing
Edge-Preserving Laplacian Pyramid
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Nonlocal Edge-Directed Interpolation
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Super-resolution with continuous scan shift
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Performance of reconstruction-based super-resolution with regularization
Journal of Visual Communication and Image Representation
Super-resolution with sparse mixing estimators
IEEE Transactions on Image Processing
Journal of Mathematical Imaging and Vision
A convex approach for variational super-resolution
Proceedings of the 32nd DAGM conference on Pattern recognition
Non-local kernel regression for image and video restoration
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Self-similarity-based image denoising
Communications of the ACM
A Variational Framework for Exemplar-Based Image Inpainting
International Journal of Computer Vision
Local object-based super-resolution mosaicing from low-resolution video
Signal Processing
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Computer Vision and Image Understanding
Contour Stencils: Total Variation along Curves for Adaptive Image Interpolation
SIAM Journal on Imaging Sciences
An MMSE approach to nonlocal image denoising: Theory and practical implementation
Journal of Visual Communication and Image Representation
Efficient video denoising based on dynamic nonlocal means
Image and Vision Computing
Morphable model space based face super-resolution reconstruction and recognition
Image and Vision Computing
Self-similarity based structural regularity for just noticeable difference estimation
Journal of Visual Communication and Image Representation
Super-resolution texture synthesis using stochastic PAR/NL model
Journal of Visual Communication and Image Representation
Variational multiframe restoration of images degraded by noisy (stochastic) blur kernels
Journal of Computational and Applied Mathematics
Bayesian combination of sparse and non-sparse priors in image super resolution
Digital Signal Processing
Greedy regression in sparse coding space for single-image super-resolution
Journal of Visual Communication and Image Representation
Dictionary learning and similarity regularization based image noise reduction
Journal of Visual Communication and Image Representation
Tetrolet regularization and learning for single frame image super-resolution
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Image super resolution using Gaussian Process Regression with patch clustering
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Hi-index | 0.03 |
Super-resolution reconstruction proposes a fusion of several low-quality images into one higher quality result with better optical resolution. Classic super-resolution techniques strongly rely on the availability of accurate motion estimation for this fusion task. When the motion is estimated inaccurately, as often happens for nonglobal motion fields, annoying artifacts appear in the super-resolved outcome. Encouraged by recent developments on the video denoising problem, where state-of-the-art algorithms are formed with no explicit motion estimation, we seek a super-resolution algorithm of similar nature that will allow processing sequences with general motion patterns. In this paper, we base our solution on the Nonlocal-Means (NLM) algorithm. We show how this denoising method is generalized to become a relatively simple super-resolution algorithm with no explicit motion estimation. Results on several test movies show that the proposed method is very successful in providing super-resolution on general sequences.