摘要
针对夜间红外图像噪声大、对比度低的问题,探讨一种基于正态分布特性和NSCT变换相结合的夜间红外图像增强算法。充分利用了高频子带的系数标准差、系数均值和每个子带系数最大值的构造自适应阈值,保护图像的边缘细节,抑制图像噪声;提出一种新的弱边缘系数增益函数,有效地提升了图像的弱边缘信息。低频系数采用了基于正态分布特性的对比度拉伸增强算法。
Because of the low contrast and loud noise of night infrared image,the infrared image enhancement method is presented in this paper,which is based on normal distribution characteristics and NSCT transform. By making full use of the high frequency sub-band coefficient of standard deviation,coefficient of mean and each sub-band coefficient maximum value for the construction of adaptive threshold,the image edge details are protected to better suppress the image noise. It also puts forward a new weak edge gain coefficient function,so weak edge information of the image can be effectively enhanced. The low frequency coefficient is based on the normal distribution characteristics and the contrast is enhanced.
出处
《重庆科技学院学报（自然科学版）》
CAS
2017年第6期120-124,共5页
Journal of Chongqing University of Science and Technology：Natural Sciences Edition
基金
安徽省高校优秀拔尖人才培育资助项目--高校优秀中青年骨干人才国内外访学研修重点项目(GXFXZD2016252)
关键词
红外图像增强
正态分布
图像边缘
自适应阈值
infrared image enhancement
normal distribution
edge of image
adaptive threshold
