基于图像处理的轨道图像去噪算法研究  

Research on Image Processing Based on Denoising Algorithm for Orbital Images

作　　者：丁要男 Ding Yaonan(School of Information Engineering,Jiangxi Mechanical and Electrical Vocational and Technical College,Nanchang Jiangxi 330013,China)

机构地区：[1]江西机电职业技术学院信息工程学院,江西南昌330013

出　　处：《山西电子技术》2025年第2期114-116,共3页Shanxi Electronic Technology

基　　金：江西省教育厅科学技术研究项目(GJJ2406908)。

摘　　要：为保证轨道图像的质量和边缘细节信息的完整,对轨道图像进行去噪非常重要,基于此重点讨论和比较了均值滤波、高斯滤波、中值滤波、双边滤波四种去噪方法的去噪效果,通过采用峰值信噪比PSNR、归一化均方误差NMSE进行评价,仿真实验表明,采用双边滤波对轨道图像进行去噪效果相对较好,有利地保护了轨道图像的边缘细节信息。To ensure the quality of orbital images and the completeness of edge details,denoising of orbital images is very important.This article focuses on discussing and comparing the denoising effects of four denoising methods:mean filtering,Gaussian filtering,median filtering,and bilateral filtering.The peak signal-to-noise ratio(PSNR)and normalized mean square error(NMSE)are used for evaluation.Simulation experiments show that the denoising effect of bilateral filtering on orbital images is relatively good,beneficially protecting the edge detail information of the orbit image.

关 键 词：图像去噪 滤波 轨道图像 峰值信噪比 归一化均方误差 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]