Super-Resolution Reconstruction of Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Super-resolution reconstruction of image sequence using multiple motion estimation fusion
Journal of Computer Science and Technology
Super-Resolution Image Restoration from Blurred Low-Resolution Images
Journal of Mathematical Imaging and Vision
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
Optical flow based super-resolution: A probabilistic approach
Computer Vision and Image Understanding
An efficient algorithm for superresolution in medium field imaging
Multidimensional Systems and Signal Processing
A fast algorithm for image super-resolution from blurred observations
EURASIP Journal on Applied Signal Processing
Video-to-video dynamic super-resolution for grayscale and color sequences
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
EURASIP Journal on Advances in Signal Processing
Ordinal regression based subpixel shift estimation for video super-resolution
EURASIP Journal on Advances in Signal Processing
Chaos in the APFM nonlinear adaptive filter
Signal Processing
A wavelet based entropic approach to high-resolution reconstruction of images
Machine Graphics & Vision International Journal
Simultaneous estimation of super-resolved depth map and intensity field using photometric cue
Computer Vision and Image Understanding
Registration errors: are they always bad for super-resolution?
IEEE Transactions on Signal Processing
A super-resolution reconstruction algorithm for surveillance images
Signal Processing
Modified Kalman filtering for image super-resolution: experimental convergence results
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Filtering image sequences from a moving object and the edge detection problem
Computers & Mathematics with Applications
Adaptive filter design for image deblurring by using multi-criteria blurred image information
Digital Signal Processing
Adaptive frame selection for improved face recognition in low-resolution videos
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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 using graph-cut
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A super-resolution reconstruction algorithm for hyperspectral images
Signal Processing
Apparent resolution enhancement for motion videos
Proceedings of the ACM Symposium on Applied Perception
Computers and Electrical Engineering
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This paper presents a new method based on adaptive filtering theory for superresolution restoration of continuous image sequences. The proposed methodology suggests least squares (LS) estimators which adapt in time, based on adaptive filters, least mean squares (LMS) or recursive least squares (RLS). The adaptation enables the treatment of linear space and time-variant blurring and arbitrary motion, both of them assumed known. The proposed new approach is shown to be of relatively low computational requirements. Simulations demonstrating the superresolution restoration algorithms are presented