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基于小波变换的红外图像模糊与同态增强
引用本文:吕绪良,文刘强,荣先辉,王 榕,扈佃海.基于小波变换的红外图像模糊与同态增强[J].解放军理工大学学报,2013,0(2):158-162.
作者姓名:吕绪良  文刘强  荣先辉  王 榕  扈佃海
作者单位:1. 解放军理工大学 野战工程学院,江苏 南京 210007; 2.解放军理工大学 科研部,江苏 南京 210007; 3.解放军61135部队,北京 102211
摘    要:针对红外图像对比度差、视觉效果模糊的缺点,提出了一种基于小波变换的红外图像模糊与同态增强算法。首先,采用正交小波变换对红外图像进行处理,将空域图像转换到频域,得到小波各层的分解系数;然后,运用同态滤波法对红外图像的低频子带小波系数进行处理,同时对红外图像的高频子带小波系数进行模糊增强处理;最后,经正交小波逆变换重构得到增强后的红外图像。实验结果分析表明,该方法可以增加红外图像细节,提高图像对比度,符合人眼视觉直观感应,能够有效达到红外图像增强的目的。

关 键 词:红外图像  小波变换  模糊集  同态滤波  图像增强
收稿时间:2012-07-16

Fuzzy and homomorphic enhancement of infrared image based on wavelet transform
LYU Xuliang,WEN Liuqian,RONG Xianhui,WANG Rong and HU Dianhai.Fuzzy and homomorphic enhancement of infrared image based on wavelet transform[J].Journal of PLA University of Science and Technology(Natural Science Edition),2013,0(2):158-162.
Authors:LYU Xuliang  WEN Liuqian  RONG Xianhui  WANG Rong and HU Dianhai
Institution:1.College of Field Engineering,PLA Univ. of Sci. &Tech.,Nanjing 210007,China; 2.Department of Scientific Research,PLA Univ. of Sci. & Tech.,Nanjing 210007,China; 3.Unit No.61135 of PLA,Beijing 102211,China
Abstract:Considering the low contrast and fuzzy human visual defects of the infrared image, an enhancement method was proposed, which is disposed by fuzzy sets theory and homomorphic filtering based on wavelet transform. Firstly, the wavelet coefficients were obtained by performing orthogonal wavelet transformation to the infrared image. Then the low frequency wavelet coefficients were disposed by homomorphic filtering, and the high frequency wavelet coefficients were enhanced by fuzzy sets theory. Finally, the reconstructed infrared image with enhancement was obtained by using the inverse wavelet transform. The experimental results show that the method performs well in increasing the image detailed information and improving the gray contrast. The results are consistent with the human visual properties.
Keywords:infrared image  wavelet transform  fuzzy sets  homomorphic filtering  image enhancement
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