基于改进同态滤波的低对比度图像增强  

LOW CONTRAST IMAGE ENHANCEMENT BASED ON IMPROVED HOMOMORPHIC FILTERING

作　　者：刘佳敏 何宁 Liu Jiamin;He Ning(School of Smart City,Beijing Union University,Beijing 100101,China)

机构地区：[1]北京联合大学智慧城市学院,北京100101

出　　处：《计算机应用与软件》2020年第3期220-224,共5页Computer Applications and Software

基　　金：国家自然科学基金项目(61572077,61872042,61370138)。

摘　　要：针对传统同态滤波算法计算量大、参数设置困难、实验难度大等问题,提出一种改进同态滤波和对比度约束自适应直方图均衡相结合的低对比度图像增强算法。对原始图像进行均衡,保留图像的细节,增强图像的对比度;通过对同态滤波算法进行改进,进一步提高预处理图像的对比度。改进同态滤波算法利用滤波器特性对滤波函数进行简化,不但保证了原始算法的效果,而且在很大程度上减少了计算。结果表明,该算法是可控的,效果明显,细节更加完整。The traditional homomorphic filtering algorithm has a large amount of calculation,and has difficulty in setting parameter,so that the experiment is very difficult.Aiming at these problems,this paper proposes a low contrast image enhancement algorithm based on improved homomorphic filtering and contrast limited adaptive histogram equalization.The original image was equalized to preserve the details of the image,and the contrast of the image was enhanced.By improving the homomorphic filtering algorithm,the contrast of the preprocessed image was further improved.The improved homomorphic filtering algorithm simplified the filtering function by using the filter characteristics,which not only ensured the effect of the original algorithm,but also reduced the calculation to a large extent.The results show that the algorithm is controllable,the effect is noticeable,and the details are more complete.

关 键 词：改进同态滤波 对比度受限自适应直方图均衡算法 低对比度图像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]