Recovery Technology of Mine Monitoring Image Based on Wiener Filtering

Combined with the actual characteristics of coal mine underground environment and the demand of coal mine monitoring image, this paper studies the theory of restoration theory of monitoring image in coal mine. We propose Wiener filtering restoration method for mine monitoring image, and use fuzzy evaluation algorithm based on secondary fuzzy to carry on evaluation. In this paper, MATLAB software is used to verify the restoration effect of monitoring images in fully mechanized coal mining face to obtain that the the coal mine fully mechanized face monitoring image recovery effect is best when the standard deviation of Gauss fuzzy is 0.6, Wiener filter SNR K is 0.055.