基于改进中值滤波方法对图像去噪的应用研究  

Application Research of Image Denoising Based on Improved Median Filtering Method

作　　者：程芳[1] CHENG Fang(Anqing Vocational and Technical College,Anqing 246003,China)

机构地区：[1]安庆职业技术学院,安徽安庆246003

出　　处：《电脑与信息技术》2022年第6期18-20,共3页Computer and Information Technology

基　　金：安徽省教学示范课《数字电子技术》项目(项目编号:2020SJJXSFK1587);安徽省高校自然科学研究重点项目(项目编号:KJ2020A1024)。

摘　　要：目前人们对图像质量不断的追求,但图像在产生、传输和计算机处理的过程中,都有可能使得原始图像被干扰,因此提高图像的质量显得更为重要。文章是在传统中值滤波的基础上提出一种加阈值的改进中值滤波方法,添加阈值后,系统根据差值和阈值进行比较,判断此像素有没有被干扰,然后再替代。结果在用matlab仿真分析会发现添加阈值的中值滤波的图像锐化效果较好,提高了图像的细节部分。得出结论是改进的中值滤波对图像降噪有一定的成效。At present,people are constantly pursuing image quality,but the original image may be interfered in the process of image generation,transmission and computer processing,so it is more important to improve the image quality.In this paper,an improved median filtering method with threshold value is proposed on the basis of traditional median filtering.After the threshold value is added,the system compares the difference value with the threshold value to determine whether the pixel is disturbed or not,and then replaces it.Results In matlab simulation analysis will find that the median filtering with threshold sharpening effect is better,improve the details of the image.The conclusion is that the improved median filter has certain effect on image noise reduction.

关 键 词：图像质量 干扰 中值滤波 阈值 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]