基于特征融合的红外图像增强算法  

Infrared image enhancement algorithm based on feature fusion

作　　者：孙晓斐 祁卓 孙王倩 李少晨 SUN xiaofei;QI Zhuo;SUN Wangqian;LI Shaochen(School of Communication and Information Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710121,China)

机构地区：[1]西安邮电大学通信与信息工程学院,陕西西安710121

出　　处：《光学技术》2022年第2期250-256,共7页Optical Technique

摘　　要：在红外图像处理过程中,提高图像的对比度,抑制噪声以及突出图像细节尤为重要,针对这些问题,提出了基于特征融合的红外图像增强算法。以引导滤波为基础对图像进行平滑分层,得到基本层和细节层,基本层采用CLAHE算法扩展低频分量的范围,而对于细节层采用Log算子与Laplace算子分别处理,依据梯度因子的权重信息获得融合细节层;采用基于梯度因子的Gamma校正抑制细节层较亮区域增强,防止过增强;在得到增强的基本层与细节层后,根据细节特征信息来进行图像融合,得到实验结果。通过不同红外场景的结果分析,该算法达到了增强边缘与抑制噪声的效果。In the process of infrared image processing,it is particularly important to improve the contrast of the image,suppress noise and highlight the details of the image.In response to these problems,infrared image enhancement algorithm based on feature fusion is proposed.First,the image is smoothly layered based on guided filtering to obtain the basic layer and the detail layer.The basic layer uses the CLAHE algorithm to extend the range of low-frequency components,and the detail layer uses the Log operator and the Laplace operator to process separately,according to the gradient factor the weight information is used to obtain the fusion detail layer,and then Gamma correction based on the gradient factor is used to suppress the enhancement of the brighter area of the detail layer to prevent over-enhancement,after obtaining the enhanced basic layer and the detail layer,image fusion is performed according to the detailed feature information,and the experimental results are obtained.Through the analysis of the results of different infrared scenes,the proposed algorithm achieves the effect of enhancing edges and suppressing noise.

关 键 词：图像处理 红外图像 引导滤波 LOG算子 GAMMA校正 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]