摘要
针对红外图像分辨率低、对比度低和目标弱小等缺点,提出了一种红外图像对比度增强新方法。该方法利用频率域的同态滤波,对红外图像的细节进行对比度增强处理。同时为进一步增强图像对比度,提高分辨率,利用限制对比度自适应直方图均衡方法调整图像的有效灰度动态范围。通过大量实验验证表明,该方法显著提高红外图像的对比度和可辨识率,改善了图像质量。
Aiming at the disadvantages of infrared image,such as low resolution,low contrast and weak target,this paper proposes a new method of contrast enhancement of infrared image.This method first uses homomorphic filtering to enhance the detail of infrared image.Meanwhile,in order to further enhance image contrast and improve the resolution,the contrast limit adaptive histogram equalization method is used to adjust the effective dynamic range of gray image.A large number of experimental results show that the new method can greatly improve infrared image contrast and resolution,and effectively enhance the image quality.
出处
《无线电工程》
2015年第2期26-29,共4页
Radio Engineering
基金
国家教育体制改革试点项目(08-128-238)
关键词
红外图像
同态滤波
对比度增强
直方图均衡
infrared image
homomorphic filtering
contrast enhancement
histogram equalization
