摘要
为了改进目前去雾算法存在的不足,将直方图均衡化算法与同态滤波算法相结合,对雾天图像进行增强处理。首先用改进的同态滤波算法来校正光照不均图像的亮度,用对数运算实现非线性问题线性化,同时将低频和高频分量分离开,使用高通滤波器抑制低频信息,然后应用直方图均衡化算法对图像的低频成分进行非线性拉伸,重新分配图像的像素值,以此来增强雾天模糊的图像。用Matlab进行仿真实验,通过视觉效果及运行时间和信息熵的对比表明,改进的算法要优于单独使用两种算法时处理的结果。
In order to improve the shortcomings of the current fog algorithm,the histogram equalization algorithm and the homomorphic filtering algorithm are combined to enhance the fog image.First,the improved homomorphic filtering algorithm is used to correct the brightness of the illumination uneven image,and the nonlinear problem is linearized by the logarithmic operation.At the same time,the low frequency and high frequency components are separated,the high frequency filter is used to suppress the low frequency information,and then the histogram equalization algorithm is used to nonlinearly stretch the low frequency components of the image,and the pixel values of the image are redistributed to enhance the fog Image.Simulation used by Matlab,the comparison of visual effects and run time and information entropy shows that the improved algorithm is better than the result of the two algorithms alone.
作者
赵春丽
董静薇
徐博
马晓峰
ZHAO Chun-li;DONG Jing-wei;XU Bo;MA Xiao-feng(School of Measurement and Control Technology and Communications Engineering,Harbin University of Science and Technology,Key Laboratory for Measuring&Control Technology and Instrumentations of Heilongjiang Province,Harbin Uinversity of Science and Technology Harbin 150080,China)
出处
《哈尔滨理工大学学报》
CAS
北大核心
2019年第6期93-97,共5页
Journal of Harbin University of Science and Technology
基金
国家自然科学基金(61601149)
黑龙江省留学归国基金(LC201427).
关键词
图像增强
直方图均衡化
同态滤波
image enhancement
histogram equalization
homomorphic filtering
