Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
Increasing Space-Time Resolution in Video
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Is Super-Resolution with Optical Flow Feasible?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
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
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Super-Resolution Using Controlled Subpixel Detector Shifts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two motion-blurred images are better than one
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
Super-Resolution Image Restoration from Blurred Low-Resolution Images
Journal of Mathematical Imaging and Vision
A Super-Resolution Imaging Method Based on Dense Subpixel-Accurate Motion Fields
Journal of VLSI Signal Processing Systems
Super resolution recovery for multi-camera surveillance imaging
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
An efficient algorithm for superresolution in medium field imaging
Multidimensional Systems and Signal Processing
Super-resolution reconstruction based on linear interpolation of wavelet coefficients
Multidimensional Systems and Signal Processing
A two-step neural-network based algorithm for fast image super-resolution
Image and Vision Computing
A fast algorithm for image super-resolution from blurred observations
EURASIP Journal on Applied Signal Processing
Super-resolution for synthetic zooming
EURASIP Journal on Applied Signal Processing
Subpixel registration directly from the phase difference
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
Superresolution under photometric diversity of images
EURASIP Journal on Applied Signal Processing
Super-resolution mosaicing from MPEG compressed video
Image Communication
Ordinal regression based subpixel shift estimation for video super-resolution
EURASIP Journal on Advances in Signal Processing
ACM SIGGRAPH Asia 2008 papers
Limits of Learning-Based Superresolution Algorithms
International Journal of Computer Vision
A super-resolution reconstruction algorithm for surveillance images
Signal Processing
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on Image Processing
Analysis of multiframe super-resolution reconstruction for image anti-aliasing and deblurring
Image and Vision Computing
Video super-resolution by integrating SAD and NCC matching criterion for multiple moving objects
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
A hybrid MLP-PNN architecture for fast image superresolution
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Robust web image/video super-resolution
IEEE Transactions on Image Processing
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Multiframe super-resolution reconstruction of small moving objects
IEEE Transactions on Image Processing
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
High-zoom video hallucination by exploiting spatio-temporal regularities
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
Temporal super resolution from a single quasi-periodic image sequence based on phase registration
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Local object-based super-resolution mosaicing from low-resolution video
Signal Processing
A closed form algorithm for superresolution
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
The research and implementation of super-resolution reconstruction for multi-frame blurring images
Proceedings of the 2011 International Conference on Innovative Computing and Cloud Computing
Choice of low resolution sample sets for efficient super-resolution signal reconstruction
Journal of Visual Communication and Image Representation
Limited recurrent neural network for superresolution image reconstruction
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
SuperResolution image reconstruction using a hybrid bayesian approach
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Super-Resolution reconstruction from fluorescein angiogram sequences
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Iterative super-resolution reconstruction using modified subgradient method
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
A super-resolution reconstruction algorithm for hyperspectral images
Signal Processing
Apparent resolution enhancement for motion videos
Proceedings of the ACM Symposium on Applied Perception
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Printing from an NTSC source and conversion of NTSC source material to high-definition television (HDTV) format are some of the applications that motivate superresolution (SR) image and video reconstruction from low-resolution (LR) and possibly blurred sources. Existing methods for SR image reconstruction are limited by the assumptions that the input LR images are sampled progressively, and that the aperture time of the camera is zero, thus ignoring the motion blur occurring during the aperture time. Because of the observed adverse effects of these assumptions for many common video sources, this paper proposes (i) a complete model of video acquisition with an arbitrary input sampling lattice and a nonzero aperture time, and (ii) an algorithm based on this model using the theory of projections onto convex sets to reconstruct SR still images or video from an LR time sequence of images. Experimental results with real video are provided, which clearly demonstrate that a significant increase in the image resolution can be achieved by taking the motion blurring into account especially when there exists large interframe motion