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Extraction of High-Resolution Frames from Video Sequences (1996)
| Venue: | IEEE Transactions on Image Processing |
| Citations: | 263 - 8 self |
BibTeX
@ARTICLE{Schultz96extractionof,
author = {Richard R. Schultz and Robert L. Stevenson},
title = {Extraction of High-Resolution Frames from Video Sequences},
journal = {IEEE Transactions on Image Processing},
year = {1996},
volume = {5},
pages = {996--1011}
}
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Abstract
The human visual system appears to be capable of temporally integrating information in a video sequence in such a way that the perceived spatial resolution of a sequence appears much higher than the spatial resolution of an individual frame. While the mechanisms in the human visual system which do this are unknown, the effect is not too surprising given that temporally adjacent frames in a video sequence contain slightly different, but unique, information. This paper addresses how to utilize both the spatial and temporal information present in a short image sequence to create a single high-resolution video frame. A novel observation model based on motion compensated subsampling is proposed for a video sequence. Since the reconstruction problem is ill-posed, Bayesian restoration with a discontinuity-preserving prior image model is used to extract a high-resolution video still given a short low-resolution sequence. Estimates computed from a low-resolution image sequence containing a subp...
Keyphrases
video sequence high-resolution frame spatial resolution human visual system short image sequence short low-resolution sequence individual frame high-resolution video low-resolution image sequence temporal information present single high-resolution video frame discontinuity-preserving prior image model reconstruction problem novel observation model adjacent frame bayesian restoration
