JOURNAL ARTICLE

Spatial-temporal video enhancement using super-resolution from a multi-camera system

Abstract

Super-Resolution (SR) covers a set of techniques which objective is to improve the resolution of a video sequence or a single frame. In this scope, a fusion SR algorithm has been used, where High-Resolution (HR) images are constructed from several observed Low-Resolution (LR) images. In this paper, this approach is combined with a Multi-Camera (MC) system to take advantage at the same time from the spatial and temporal correlations between the recorded sequences, in order to improve the quality of the super-resolved HR sequence.

Keywords:
Image resolution Computer science Artificial intelligence Computer vision Frame (networking) Sequence (biology) Resolution (logic) Set (abstract data type) Superresolution Image fusion Sub-pixel resolution Fusion Scope (computer science) Image (mathematics) Image processing Digital image processing Telecommunications

Metrics

3
Cited By
0.48
FWCI (Field Weighted Citation Impact)
9
Refs
0.70
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 and Video Stabilization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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