摘要
基于Retinex理论的增强方法消除雾霾对图像的影响,还原图像中景物的真实性.通过重点分析和比较三种Retinex方法:单尺度中心环绕Retinex方法、多尺度中心环绕Retinex方法和带色彩恢复的多尺度中心环绕Retinex方法的原理和对处理后的遥感影像的质量参数进行分析和比较,得出结论:基于Retinex理论的增强算法对保持颜色的恒常性,提高局部对比度,协调动态控制范围和增强边缘有较好的效果,能够有效的处理雾霾图像.
Based on the Retinex theory about enhancement method of eliminate fog＇s influence on the image to reducte the authenticity imagine scene,by selective analysis and threeRetinex methods ＇comparison： single scale center around Retinex method,multi-scale center aroundRetinex method and the tape colour restore multiscale center around Retinex Method princilple we campare and analyzes the parameters about the the quality of the processing of remote sensing imagine. It draws a conclusion that the enhancement algorithm based on the theory of the Retinex can keep the color constancy,increase locality contrast ratiio,adjust coordination of dynamic dynamic control range and edge enhancement,which can solve the haze image effectively.
出处
《许昌学院学报》
CAS
2016年第5期49-54,共6页
Journal of Xuchang University
基金
2016年度许昌学院科研基金项目(2016050)
