Title :
Stochastic noisy image detection in vision system
Author_Institution :
Inst. of Electron., Acad. Sinica, Beijing, China
fDate :
28 Oct-1 Nov 1991
Abstract :
A novel scheme of IFSS (interframe shift sampling) for detection or restoration of a noisy image for a vision system is presented. The relation between sampling pitch and SNR (signal-to-noise ratio) gain is given. The benefits of SNR gain and data compression will be obtained in the case of oversampling. It is shown that the scheme of IFSS is very useful for vision systems operating in an intensely noisy environment and the image transmission from deep space vehicles
Keywords :
computer vision; noise; computer vision; data compression; deep space vehicles; image restoration; image transmission; interframe shift sampling; sampling pitch; signal-to-noise ratio; stochastic noisy image detection; vision system; Data compression; Image communication; Image restoration; Image sampling; Machine vision; Signal restoration; Signal to noise ratio; Space vehicles; Stochastic systems; Working environment noise;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1991. Proceedings. IECON '91., 1991 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-87942-688-8
DOI :
10.1109/IECON.1991.239237
