ALGORITHMS OF SMOKE-BLACKENED IMAGE FILTERING
ITMO University ; Postgraduate
A. V. Krasnyaschikh
ITMO University, Saint Petersburg, Russia; Associate Professor
O. . Lashmanov
ITMO University; Student
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Abstract. The problem of reduction of smoke-induced defects of images in wildfire detection and monitoring system is considered. Comparative analysis of various filtering algorithms applied to smoke-blackened images is carried out.
Keywords:
image filtering, smoke reduction, optical-electronic system, forest fire detection and monitoring system, television camera
