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17 April 2020 Enhancement and denoising algorithm of infrared detection image based on guided filter
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Abstract
In the infrared detection and imaging system, due to the influence of detector aperture, system imperfection, measurement noise and other factors, the infrared detection image usually has the disadvantages of low contrast, poor signal-to-noise ratio, blurred visual effect and so on. In order to solve this problem, this paper proposes an infrared image denoising and enhancement algorithm based on the guidance filter. The algorithm realizes a linear shift local linear filter by introducing the guidance image as the prior information, so as to enhance the edge details of the infrared image and remove the image noise at the same time. The simulation results show that compared with the traditional denoising and enhancement algorithm, this method can effectively improve the visual effect of infrared detection image, enhance the edge detection information of the target, and has the advantages of fast processing speed.
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Shaofei Wang, Baolin Du, Shiyong Guo, and Peng Zhang "Enhancement and denoising algorithm of infrared detection image based on guided filter", Proc. SPIE 11455, Sixth Symposium on Novel Optoelectronic Detection Technology and Applications, 1145561 (17 April 2020); https://doi.org/10.1117/12.2565207
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