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Special information search from video images is a field with very utility value. In this paper, we use the bilateral filter to denoise nightly infrared monitoring images for preprocessing step, so that noises are reduced and edges are preserved. Considering that traditional bilateral filters do not balance gray- scale difference and the geometric distance in determining the weights of convolution kernel coefficients, we propose to give the two different values different weights, both of them are fully considered. Experimental results show that this algorithm can effectively remove noise as well as perfectly retain edge information. Keywords-Infrared Image; Denoising; Bilateral Filter; Weighted

Research on a Bilateral Filtering Based Image Denoising Algorithm for Nightly Infrared Monitoring Images