低照度下基于Sigmoid函数的改进同态滤波增强算法  

Improved Homomorphic Filtering Image Enhancement Algorithm Based on Sigmoid Function Under Low Illumination

作　　者：贺明 宋文爱[2] HE Ming;SONG Wenai(Army Special Operations College,Guilin 541002;School of Software,North University of China,Taiyuan 030051)

机构地区：[1]陆军特种作战学院,桂林541002 [2]中北大学软件学院,太原030051

出　　处：《计算机与数字工程》2023年第8期1856-1860,共5页Computer & Digital Engineering

基　　金：国家重点研发计划项目(编号:2017YFB1400803)资助。

摘　　要：针对低照度图像处理难度较大,信息含量少的问题,提出了一种基于Sigmoid函数的改进同态滤波低照度图像增强方法。该方法首先基于同态滤波增强方法的原理,并利用Sigmoid函数构造两个传递函数,对图像进行分频处理;然后将低通分量乘以相应的系数来控制图像的整体灰度;接着将高频、低频分量线性相加;最后输出增强后的图像。实验结果表明,该算法不仅优化了滤波器参数的调控问题,而且有效地提高了图像对比度,视觉效果更好,细节部分更清晰。Aiming at the problem of difficult low illumination image processing and less information content,an improved homomorphic filtering low illumination image enhancement method based on Sigmoid function is proposed.The method is based on the principle of the homomorphic filter enhancement method,and it uses the Sigmoid function to construct two transfer functions to divide the image.Then,the low-pass component is multiplied by the corresponding coefficient to control the overall gray level of the image.Then,the high-frequency and low-frequency components are added linearly.Finally,the enhanced image is output.Experimental results show that the algorithm not only optimizes the adjustment of filter parameters,but also effectively improves image contrast,with better visual effects and clearer details.

关 键 词：图像增强 同态滤波 SIGMOID函数 分频处理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]