巴特沃斯低通滤波器在图像增强中的应用研究  

Application of butterworth low pass filter in image enhancement

作　　者：肖锦龙[1] XIAO Jinlong(DongGuan Science&Technology School,DongGuan Guangdong 523460,China)

机构地区：[1]东莞理工学校,广东东莞523460

出　　处：《智能计算机与应用》2021年第5期179-182,共4页Intelligent Computer and Applications

摘　　要：频域图像增强是将图像通过变换函数从空域转换为频域,在频域空间里对图像进行滤波处理实现图像增强,再由逆变换函数转换回空域图像的过程。巴特沃斯滤波是频域滤波图像增强的一种。本文对图像增强知识、巴特沃斯滤波器及巴特沃斯低通滤波器算法的实现进行详细的介绍,通过在matlab中对原图和加噪图进行滤波仿真实验,分析实验结果,得出结论。Frequency domain image enhancement is to transform the image from the spatial domain to the frequency domain through the transform function,filter the image in the frequency domain space to realize image enhancement,and then transform the image back to the space domain by the transform function. Butterworth filtering is a kind of frequency domain filtering image enhancement. In this paper,the knowledge of image enhancement,Butterworth filter and the realization of Butterworth low-pass filter algorithm are introduced in detail. Finally,the simulation experiment of the original image and the noise image filtering is carried out in MATLAB,the experimental results are analyzed,and the conclusion is drawn.

关 键 词：巴特沃斯滤波器 低通滤波器 图像增强 MATLAB 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]