Is Super-Resolution with Optical Flow Feasible?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Super-resolution reconstruction of image sequence using multiple motion estimation fusion
Journal of Computer Science and Technology
A two-step neural-network based algorithm for fast image super-resolution
Image and Vision Computing
Image resolution enhancement via data-driven parametric models in the wavelet space
Journal on Image and Video Processing
Video-to-video dynamic super-resolution for grayscale and color sequences
EURASIP Journal on Applied 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
A Modified Gaussian Filter for the Arbitrary Scale LP Enlargement Method
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
High Accuracy Bicubic Interpolation Using Image Local Features
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Generalizing the Nonlocal-means to super-resolution reconstruction
IEEE Transactions on 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
Three-stage motion deblurring from a video
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Invariant image reconstruction from irregular samples and hexagonal grid splines
Image and Vision Computing
Robust web image/video super-resolution
IEEE Transactions on Image Processing
A super-resolution reconstruction algorithm for hyperspectral images
Signal Processing
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We propose a new multiframe algorithm to enhance the spatial resolution of frames in video sequences. Our technique specifically accounts for the possibility that motion estimation will be inaccurate and compensates for these inaccuracies. Experiments show that our multiframe enhancement algorithm yields perceptibly sharper enhanced images with significant signal-to-noise ratio (SNR) improvement over bilinear and cubic B-spline interpolation