Paper Info
Title
Real-time Super Resolution Algorithm for Security Cameras.
Abstract
Security is one of the most important things in our daily lives. Security camera systems have been introduced to keep us safe in shops, airports, downtowns, and other public spaces. Security cameras have infrared imaging modes for low-light conditions. However, infrared imaging sensitivity is low, and the quality of images recorded in low-light conditions is often poor as they do not always possess sufficient contrast and resolution; thus, infrared imaging devices produce blurry monochrome images and videos. A real-time nonlinear signal processing technique that improves the contrast and resolution of low-contrast infrared images and video is proposed. The proposed algorithm can be installed in a field programmable array.
Year
DOI
Venue
2015
10.5220/0005559800920097
SIGMAP
Keywords
Field
DocType
Security Camera, Real-time Video Processing, Nyquist Frequency, Super Resolution
Computer vision,Super resolution algorithm,Computer graphics (images),Computer science,Artificial intelligence
Conference
Volume
ISBN
Citations 
05
978-1-4673-8532-9
1
PageRank 
References 
Authors
0.37
4
1
Name
Order
Citations
PageRank
Seiichi Gohshi17118.16