基于Laplacian算子的同态滤波算法研究

Research on Homomorphic Filtering Algorithm Based on Laplacian Operator

针对频域同态滤波中运算量大、运算时间长、不能满足实时性要求的缺点,提出了一种基于Laplacian增强算子的空域同态滤波算法。首先对原有的Laplacian增强算子做改进,使其在增强图像高频成分的同时能够适当地抑制其低频成分,再将改进后的Laplacian增强算子同图像函数作卷积,快速实现空域内的滤波增强。实验表明,该方法不仅有效地压缩了图像的亮度范围,增强了图像的对比度,还大大提高了运算速度,节省了运算时间,适用于对快速性要求较高的实时性场合。

For the shortcomings of large amount of computing and computing time, homomorphic filtering of frequency can not meet the real-time requirements. An algorithm of spatial homomorphic filtering based on Laplacian enhanced operator is presented in this paper. Firstly, the original Laplacian enhanced operator should be improved in order to strengthen the image＇s high frequency components and restrain its low-frequency components properly at the same time. And then the improved Laplacian enhanced operator convolves with the image function to achieve the homomorphic filtering enhancement of image rapidly. The experiments show that the method not only effectively reduces the scope of image brightness and enhances the contrast of image, but also greatly improves the speed of operation and saves operator time. It＇s suitable for realtime occasions with high requirements.