基于改进滤波器和图像多尺度变换的背景抑制算法

doi:10.3969/j.issn.1001-506X.2020.08.06

Abstract

Abstract:

The detection background of the infrared target is always complex and non-stationary. In order to improve the performance of target detection, the target signal is often enhanced by suppressing the background. Aiming at the problems of low detection rate and high false alarm rate of traditional background suppression methods, a c omplex background suppression algorithm based on improved filter and image multi-scale transformation is proposed. Firstly, the infrared image is filtered to obtain the preprocessed image. Secondly, the image background is smoothed by Gaussian pyramid multi-resolution technology. Thirdly, the Cubic interpolation algorithm is used to improve the resolution of the image and get the background estimation image. Finally, the difference between the preprocessed image and the background estimated image is estimated to obtain the result of background suppression. Experiments show that the real-time performance of the proposed algorithm is 19% better than that of the traditional method, and it has good adaptability to a variety of complex background situations. Meanwhile, the algorithm has low computational complexity, which is conducive to the realization of real-time engineering applications.

Key words: infrared image, background suppression, image multi-scale transformation, interpolation algorithm

CLC Number:

TP391.41

Siqi HUA, Wei ZHAO, Jianye LIU. Background suppression algorithms based on improved filter and image multi-scale transformation[J]. Systems Engineering and Electronics, 2020, 42(8): 1679-1684.

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References 30

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组号	原始图像	最大中值滤波算法			背景分类算法			本文算法
组号	SNR	ISNR	MSE	BSF	ISNR	MSE	BSF	ISNR	MSE	BSF
1	0.082 8	7.12	18.96	6.73	6.54	11.32	7.80	4.80	9.84	3.93
2	1.157 9	8.04	19.46	7.37	3.01	13.87	8.17	4.14	9.78	4.83
3	2.707 6	6.21	15.32	7.45	4.98	12.34	9.35	4.07	9.65	4.49
4	3.747 1	7.54	15.37	6.79	5.27	11.42	7.45	4.39	9.76	5.56

组号	最大中值滤波算法	背景分类算法	本文算法
1	11.2	21.30	9.46
2	11.5	21.05	9.31
3	11.6	26.06	10.59

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Background suppression algorithms based on improved filter and image multi-scale transformation

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