Title
WaveNet processing brassboards for live video via radio
Abstract
Recent advances in areas of both discrete wavelet transforms (DWT) and continuous wavelet transforms (CWT), representing human visual system neural networks, have resulted in improved video compression, restoration, and filtering techniques. These software techniques are capable of achieving quality performance in video. However, the computational complexity requires specially designed hardware to run real time live video through radio. This hardware, called a brassboard, when integrated with computers, can potentially provide us with many applications including remote sensors, security systems, commercial and home video teleconferencing. This paper describes a low cost board to support a video compression, restoration, and filter system in real time processing. This WaveNet board has been optimized for wavelet-based image and video compression and enhancement techniques
Year
DOI
Venue
1998
10.1109/IJCNN.2002.1007484
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference  
Keywords
DocType
Volume
data compression,image enhancement,image processing equipment,radio applications,remote sensing,security,teleconferencing,video coding,video equipment,visual communication,wavelet transforms,cwt,dwt,wavenet processing brassboards,commercial video teleconferencing,computational complexity,computer integration,computers remote sensors,continuous wavelet transforms,discrete wavelet transforms,hardware board design,home video teleconferencing,human visual system neural networks,live video via radio,real time live video,real time processing,security systems,video compression,video enhancement techniques,video filtering techniques,video restoration,wavelet-based image compression,video,real time,continuous wavelet transform,neural network,human visual system,discrete wavelet transform
Journal
3
ISSN
Citations 
PageRank 
1098-7576
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Charles Hsu186.21
Harold Szu214938.33