基于背景还原的红外伪装效果评价方法

doi:10.12305/j.issn.1001-506X.2022.08.20

Abstract

Abstract:

Aiming at the problem of infrared camouflage effect evaluation of targets in complex environment, an infrared camouflage effect evaluation method based on background restoration is proposed. The improved Criminisi algorithm is used to repair the background area under the target shielding, and the background restored image is obtained. Then the similarity between the restored background and the original infrared camouflage target is measured. Considering the deviation between the restored background and the real masking background, use the IL-NIQE model to pre-evaluate the restoration quality and restoration effect of the background restored image, and obtain the restoration effect measurement value. A nonlinear fusion method is adopted to fuse the restoration effect measure and the similarity measure to complete the comprehensive evaluation of the target infrared camouflage effect. Experiments show that the evaluation method accords with human visual characteristics and can objectively evaluate the infrared camouflage effect of targets in complex environment.

Key words: image processing, infrared camouflage evaluation, image restoration technology, nonlinear feature fusion

CLC Number:

E951.4

Xiaofeng ZHAO, Fei WU, Yebin XU, Jiahui NIU, Wei CAI, Zhili ZHANG. Evaluation method of infrared camouflage effect based on background restoration[J]. Systems Engineering and Electronics, 2022, 44(8): 2554-2561.

Figures/Tables 8

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算法	度量	红外伪装图像
算法	度量	a	b	c	d
Criminisi算法	D	40.763	29.304	51.499	22.864
Criminisi算法	A₁	0.592	0.707	0.485	0.771
改进算法	D	25.811	21.399	26.275	20.796
改进算法	A₁	0.742	0.786	0.737	0.792

评价算法	评价指标
评价算法	SROCC	KROCC	PLCC	RMSE
R_Ying	0.897 4	0.732 2	0.888 9	0.081 0
S_Xue	0.874 6	0.744 1	0.919 8	0.061 8
R_Han	0.944 3	0.801 5	0.938 7	0.043 3
Sours	0.977 4	0.896 7	0.981 3	0.031 2

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Evaluation method of infrared camouflage effect based on background restoration

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