电子测量与仪器学报

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

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

Infrared image enhancement algorithm based on exponentialhomomorphic filtering coupled with detail sharpening rule

DOI：

中文关键词: 红外图像增强同态滤波方法细节锐化规则相位一致性方法自适应锐化因子自适应高提升滤波方法

英文关键词:infrared image enhancement homomorphic filtering method detail sharpening rule phase consistency method adaptive sharpening factor adaptive high lifting filtering method

基金项目:国家科技重大专项(2018ZX03001008 002)、江苏省高校自然科学研究项目(19KJB520037)、江苏高校“青蓝工程”项目资助

作者	单位
王欣	1. 南京工业大学浦江学院
徐平平	2. 东南大学信息科学与工程学院，3. 东南大学移动通信国家重点实验室
吴菲	1. 南京工业大学浦江学院

Author	Institution
Wang Xin	1. Pujiang College, Nanjing University of Technology
Xu Pingping	2. College of Information Science and Engineering, Southeast University,3. National Mobile Communications Research Laboratory, Southeast University
Wu Fei	1. Pujiang College, Nanjing University of Technology

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中文摘要:

为了解决当前红外图像增强方法存在的光晕及细节模糊等不足,提出了指数同态滤波耦合细节锐化规则的红外图像增强算法。基于同态滤波方法,通过频域中的像素点与中心像素点的距离,构造指数型同态函数,以同时完成图像的去噪和增强对比度处理。联合相位一致性方法和自适应高提升滤波方法,构造了细节锐化机制。在图像的细节锐化中,利用相位一致性方法,通过傅里叶变换,准确提取出图像的细节特征。并引入高提升滤波方法,利用图像的均值,构造自适应的锐化因子,以形成自适应高提升滤波方法,对提取的图像细节特征进行锐化,完成图像细节内容的增强。实验结果表明,较当前的红外图像增强算法而言,所提算法具有更好的增强效果,其增强图像呈现出更为理想的对比度和更为清晰的图像边缘。

英文摘要:

In order to solve the shortcomings as halo and detail blur in the current infrared image enhancement methods, an infrared image enhancement algorithm using exponential homomorphic filter coupled with detail sharpening rule is proposed in this paper. Based on the homomorphic filtering method, an exponential homomorphic function is constructed by the distance between the pixel and the center pixel in the frequency domain to form an exponential homomorphic filter, which is used to denoise the image and enhance the contrast of the image. Based on the phase congruence method and the adaptive high lifting filtering method, detail sharpening rules are constructed. In the rule of detail sharpening, the phase consistency method is used to extract the detail features of the image accurately through Fourier transform. Then, the high lifting filtering method is introduced, which uses the mean value of the image to construct an adaptive sharpening factor to form an adaptive high lifting filtering method. The extracted image details are sharpened to enhance the details of the image. The experimental results show that the image enhanced by the proposed method has better contrast than the current infrared image enhancement algorithm, and the edge of the image is clearer, which shows that the proposed method has better enhancement effect.

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