基于小波变换的红外图像模糊与同态增强

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。

Fuzzy and homomorphic enhancement of infrared image based on wavelet transform

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.