Paper Info
Title
Video enhancement using spatial and temporal super-resolution from a multi-camera system
Abstract
Super-Resolution (SR) covers a set of techniques whose 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 of the spatial and temporal correlations between the recorded sequences, in order to improve the quality of the super-resolved HR sequence. The results show that the proposed combination outperforms the quality of typical SR applications, such as consumer electronics, surveillance video or remote sensing.
Year
DOI
Venue
2014
10.1109/TCE.2014.6937326
Consumer Electronics, IEEE Transactions  
Keywords
Field
DocType
image enhancement,image resolution,image sensors,image sequences,video signal processing,HR images,LR images,SR,fusion SR algorithm,high resolution images,low resolution images,multicamera system,spatial correlations,spatial super resolution,temporal correlations,temporal super resolution,video enhancement,video sequence,Multi-Camera,Super-Resolution,Video Enhancement
Iterative reconstruction,Computer vision,Multi camera,Computer science,Data pre-processing,Image processing,Sub-pixel resolution,Artificial intelligence,Image resolution,Superresolution
Journal
Volume
Issue
ISSN
60
3
0098-3063
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Eduardo Quevedo1105.44
Jesús De La Cruz227126.56
Callicó, G.310.35
Félix Tobajas4419.57