一种改进的同态滤波图像增强算法

An improved homomorphic filtering image enhancement algorithm

针对传统同态滤波算法存在多参数不易控制和参数值经验化的问题,提出一种改进的指数型单参数同态滤波图像增强算法。该算法根据距离矩阵最大概率点估算截止频率,合并锐度因子和截止频率使算法只随距离矩阵的变化而变化,提高了算法的通用性。仿真实验结果表明,改进算法在提升图像对比度的同时增加了图像的边缘及细节,增强了图像整体视觉效果。

Aiming at the problem that the traditional homomorphic filtering algorithm is difficult to control and the parameter values are empirically,an improved exponential single-parameter homomorphic filtering image enhancement algorithm is proposed.The algorithm estimates the cut-off frequency according to the maximum probability point of the distance matrix.The combination of sharpness factor and cutoff frequency make the algorithm only change with the change of the distance matrix,which improves the universality of the algorithm.Simulation results show that the improved algorithm not only improves the image contrast but also increases the edges and details of the image and enhances the overall visual effect of the image.