15 October 2012 High-order diffusion equation based infrared image background suppression
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Abstract
Complex background suppression is a key problem in the detection of the infrared dim small target at far distance. In this paper, a background suppression method for the dim small target detection based on the combination of the high-order diffusion equation and the RX operator is proposed. Firstly, the high-order diffusion equation is applied to decompose the original infrared image, and the multiscale features of the image are extracted. Then, by the fact that the signal coefficients of target are different with that of background clutter in the decomposed sub-image, the RX operator is utilized to separate the dim small target and the background clutter. Two groups of experimental results demonstrate that the complex background can be suppressed by the presented method effectively, whose performance is better than that of the max median (MMed) method. The proposed method can preserve and enhance the infrared target signal effectively whose SCR is greater than 1.7.
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Hanlin Qin, Shuang Zhang, Huixin Zhou, Jing-guo Zong, Yahong Ma, Rui Lai, "High-order diffusion equation based infrared image background suppression", Proc. SPIE 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy, 84190H (15 October 2012); doi: 10.1117/12.978279; https://doi.org/10.1117/12.978279
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