JOURNAL ARTICLE

A super resolution reconstruction scheme for mixed spatio-temporal stereo video

Abstract

This paper presents a video super resolution algorithm to enhance definition for a low resolution video sequence within a mixed spatial-temporal resolution stereo video. Two different views of the same scene with large overlapped area are captured by two cameras: one is low-resolution high-speed camera, whilst the other is high-resolution low-speed camera. First, the low resolution frames are spatially super-resolved by compensating new high-frequency information followed by stereo matching. Then the remainder frames of the low resolution video are super resolved via bidirectional overlapped block motion compensation using adjacent high resolution frames obtained above. Experimental results demonstrate that both the subjective and objective qualities of the super resolved videos are significantly improved by the proposed algorithm.

Keywords:
Computer vision Artificial intelligence Computer science Motion compensation Image resolution Block-matching algorithm Block (permutation group theory) Resolution (logic) Matching (statistics) Compensation (psychology) Low resolution Stereo camera Iterative reconstruction High resolution Video processing Video tracking Mathematics Remote sensing Geography

Metrics

2
Cited By
0.55
FWCI (Field Weighted Citation Impact)
14
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology

Related Documents

© 2026 ScienceGate Book Chapters — All rights reserved.