A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of component image velocity from local phase information
International Journal of Computer Vision
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques
International Journal of Computer Vision
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation
An Optimal Mesh Computer Algorithm for Constralned Delaunay Triangulation
Proceedings of the 8th International Symposium on Parallel Processing
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
Closed-form connectivity-preserving solutions for motion compensation using 2-D meshes
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Optical flow estimation for a periodic image sequence
IEEE Transactions on Image Processing
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A super-resolution imaging method suitable for imaging objects moving in a dynamic scene is described. The primary operations are performed over three threads: the computation of a dense inter-frame 2-D motion field induced by the moving objects at a sub-pixel resolution in the first thread. Concurrently, each video image frame is enlarged by the cascode of an ideal low-pass filter and a higher rate sampler, essentially stretching each image onto a larger grid. Then, the main task is to synthesize a higher resolution image from the stretched image of the first frame and that of the subsequent frames subject to a suitable motion compensation. A simple averaging process and/or a simplified Kalman filter may be used to minimize the spatio-temporal noise, in the aggregation process. The method is simple and can take advantage of common MPEG-4 encoding tools. A few experimental cases are presented with a basic description of the key operations performed in the over all process.