针对红外传感器采集舰船红外图像时,容易受到信号污染,导致输出图像质量过低的问题,研究应用均值滤波的舰船红外图像规整化复原算法。利用非局部均值滤波方法,计算舰船红外图像邻域块的相似性,依据相似性计算结果构造加权系数,对舰船红外图像实施加权平均处理,输出舰船红外图像均值滤波结果。将基于可变系数滤波器的图像复原算法应用于均值滤波后的舰船红外图像中,构建规整化惩罚项加入复原算法的代价函数中,利用交替迭代估计策略,输出舰船红外图像的规整化复原结果。实验结果表明,该算法可以实现舰船红外图像的规整化复原,复原处理后的舰船红外图像的信息熵均高于7,复原效果理想。
In order to solve the problem that infrared sensors are prone to signal pollution when collecting infrared images of ships, which leads to low output image quality, the regularization and restoration algorithm of ship infrared images using mean filter is studied. Using the method of non-local mean filtering, the similarity of neighborhood blocks of ship infrared images is calculated, weighted coefficients are constructed according to the similarity calculation results, weighted average processing is performed on ship infrared images, and the mean filtering results are output. The image restoration algorithm based on variable coefficient filter is applied to the ship infrared image after mean filtering, and the normalization penalty term is constructed and added to the cost function of the restoration algorithm. The experimental results show that this algorithm can realize the regularization restoration of ship infrared images, and the information entropy of ship infrared images after restoration is higher than 7, and the restoration effect is ideal.
2023,45(13): 182-185 收稿日期:2023-02-27
DOI:10.3404/j.issn.1672-7649.2023.13.038
分类号:TP391
作者简介:秦娟英(1985-),女,硕士,讲师,研究方向为光学
参考文献:
[1] 程铁栋, 卢晓亮, 易其文, 等. 一种结合单尺度Retinex与引导滤波的红外图像增强方法[J]. 红外技术, 2021, 43(11): 1081–1088
CHENG Tiedong, LU Xiaoliang, YI Qiwen, et al. Research on Infrared Image Enhancement Method Combined with Single-scale Retinex and Guided Image Filter[J]. Infrared Technology, 2021, 43(11): 1081–1088
[2] 王欣, 徐平平, 吴菲. 基于指数同态滤波耦合细节锐化规则的红外图像增强算法[J]. 电子测量与仪器学报, 2021, 35(10): 9–16
WANG Xin, XU Pingping, WU Fei. Infrared image enhancement algorithm based on exponential homomorphic filtering coupled with detail sharpening rule[J]. Journal of Electronic Measurement and Instrumentation, 2021, 35(10): 9–16
[3] 谢晓方, 刘厚君, 张龙杰, 等. 基于渐进式生成对抗网络的舰船红外图像仿真[J]. 激光与红外, 2021, 51(4): 471–479
XIE Xiaofang, LIU Houjun, ZHANG Longjie, et al. Infrared image simulation for warship based on progressive generative adversarial network[J]. Laser & Infrared, 2021, 51(4): 471–479
[4] 宫剑, 吕俊伟, 刘亮, 等. 红外偏振舰船目标自适应尺度局部对比度检测[J]. 光学精密工程, 2020, 28(1): 223–233
GONG Jian, LV Junwei, LIU Liang, et al. Adaptive scale local contrast detection for infrared polarization ship targets[J]. Optics and Precision Engineering, 2020, 28(1): 223–233
[5] 闫辉, 周国华. 基于Kalman滤波的船舶磁化干扰系数测量算法[J]. 中国舰船研究, 2022, 17(4): 164–169
YAN Hui, ZHOU Guohua. Measurement of ship's magnetization parameters based on Kalman filtering method[J]. Chinese Journal of Ship Research, 2022, 17(4): 164–169
[6] 李海军, 孔繁程, 牟俊杰, 等. 基于ISE-StyleGAN的舰船红外图像生成算法[J]. 光子学报, 2022, 51(12): 321–333
LI Haijun, KONG Fancheng, MOU Junjie, et al. Infrared ship image generation algorithm based on ISE-StyleGAN[J]. Acta Photonica Sinica, 2022, 51(12): 321–333
[7] 郑佳慧, 俞晓迪, 赵生妹, 等. 基于均值滤波的关联成像去噪[J]. 光学学报, 2022, 42(22): 49–56
ZHENG Jiahui, YU Xiaodi, ZHAO Shengmei, et al. Ghost imaging denoising based on mean filtering[J]. Acta Optica Sinica, 2022, 42(22): 49–56