Author:
Seiichi Gohshi
Affiliation:
Kogakuin University, Japan
Keyword(s):
Security Camera, Real-time Video Processing, Nyquist Frequency, Super Resolution.
Related
Ontology
Subjects/Areas/Topics:
Design and Implementation of Signal Processing Systems
;
Image and Video Processing, Compression and Segmentation
;
Multidimensional Signal Processing
;
Multimedia
;
Multimedia and Communications
;
Multimedia Security and Cryptography
;
Multimedia Signal Processing
;
Multimedia Systems and Applications
;
Multimodal Signal Processing
;
Telecommunications
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.