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

系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (8): 2554-2561.doi: 10.12305/j.issn.1001-506X.2022.08.20

基于背景还原的红外伪装效果评价方法

赵晓枫^1,², 吴飞^1,^2,*, 徐叶斌^1,², 牛家辉^1,², 蔡伟^1,², 张志利^1,²

1. 火箭军工程大学导弹工程学院, 陕西西安 710025
2. 兵器发射理论与技术国家重点学科实验室, 陕西西安 710025

收稿日期:2021-07-15 出版日期:2022-08-01 发布日期:2022-08-24
通讯作者: 吴飞
作者简介:赵晓枫(1979—), 男, 副教授, 博士, 主要研究方向为兵器发射理论与技术|吴飞(1994—), 男, 硕士研究生, 主要研究方向为图像处理、光电隐身伪装与防护|徐叶斌(1997—), 男, 硕士研究生, 主要研究方向为计算机视觉、红外目标检测|牛家辉(1994—), 男, 硕士研究生, 主要研究方向为图像处理、光电隐身伪装与防护|蔡伟(1974—), 男, 教授, 博士研究生导师, 主要研究方向为定位定向与光电防护|张志利(1966—), 男, 教授, 博士研究生导师, 主要研究方向为发射系统总体与仿真
基金资助:
国家自然科学基金(41404022)

Evaluation method of infrared camouflage effect based on background restoration

Xiaofeng ZHAO^1,², Fei WU^1,^2,*, Yebin XU^1,², Jiahui NIU^1,², Wei CAI^1,², Zhili ZHANG^1,²

1. Missile Engineering College, Rocket Force Engineering University, Xi'an 710025, China
2. Armament Launch Theory and Technology Key Discipline Laboratory of China, Xi'an 710025, China

Received:2021-07-15 Online:2022-08-01 Published:2022-08-24
Contact: Fei WU

摘要/Abstract

摘要：

针对复杂环境背景下目标红外伪装效果评价问题, 提出了一种基于背景还原的红外伪装效果评价方法。首先利用改进的Criminisi算法对目标遮蔽下的背景区域进行修复, 得到背景还原图像, 然后与原图进行相似性度量; 考虑到实际还原背景与理想还原背景之间因图像修复算法局限性而引起的偏差, 使用IL-NIQE模型对背景还原图像的修复质量和还原效果进行评价; 最后将相似性度量值与还原效果度量值进行非线性融合, 完成目标红外伪装效果的综合评价。实验表明, 该评价方法符合人眼视觉特性, 能够对复杂环境背景下目标的红外伪装效果进行较好的客观评价。

关键词: 图像处理, 红外伪装评价, 图像修复技术, 非线性特征融合

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

中图分类号:

E951.4

赵晓枫, 吴飞, 徐叶斌, 牛家辉, 蔡伟, 张志利. 基于背景还原的红外伪装效果评价方法[J]. 系统工程与电子技术, 2022, 44(8): 2554-2561.

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.

图/表 8

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参考文献 30

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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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基于背景还原的红外伪装效果评价方法

Evaluation method of infrared camouflage effect based on background restoration

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