摘要
从红外影像的特点出发进行去噪和增强实验,首先分析了两种主要噪声类型以及滤除方法,然后运用典型的非线性中值滤波和小波变换技术进行去噪;完成去噪后利用经典直方图均衡化和模糊熵技术进行灰度增强.实验给出一种结合小波去噪和模糊最大熵的红外影像预处理方法,获得了突出的增强效果.
Based on the characteristics of infrared image,the author studied the experiment on denoisying and enhancement. Firstly, the author analyzed two mainly noisy types and filtering methods, then used typical way of nonlinear median filtering and technique of wavelet transform to denoisying. Lastly, histogram equilibrium and maximum fuzzy entropy were used to making grayscale enhancement. The paper gives a infrared image preprocessing method based on wavelet denoisying and maximum fuzzy entropy. The experiment shows it is more useful.
出处
《河南科学》
2013年第8期1183-1187,共5页
Henan Science
关键词
红外图像
中值滤波
模糊熵
小波变换
灰度增强
infrared image
median filtering
fuzzy entropy
wavelet transform
grayscale enhancement
