高密度椒盐噪声下混合滤波新方法  

New method of mixing filtering under high⁃density salt⁃and⁃pepper noise

作　　者：丁巧 方振国[1] DING Qiao;FANG Zhenguo(School of Physics and Electronic Information,Huaibei Normal University,Huaibei 235000,China)

机构地区：[1]淮北师范大学物理与电子信息学院,安徽淮北235000

出　　处：《现代电子技术》2024年第5期98-101,共4页Modern Electronics Technique

基　　金：产教融合提升电子信息工程专业服务新能源环保产业发展模式探索与实践(2021fwxxcy039);产学研创新基金一新一代信息技术创新项目(2019ITA01041)。

摘　　要：图像在采集、传输和处理过程中,易受环境、器材及处理方法的影响,不可避免地会产生不同程度的噪声。当噪声密度超过50%时,噪点信息在图像信息中占据主导地位,一般的中值滤波、均值滤波或自适应滤波等单一滤波方式存在着消除噪声的同时滤除了图像自身细节的问题,导致图像不清晰,滤波效果较差。由此提出高密度椒盐噪声下混合滤波新方法,采取降噪、去噪、强化边缘三个层级混合滤波,最后用噪声密度达到80%的图像进行测试验证,有效地滤除了噪声,恢复了图像的细节信息,得到了很好的效果。In the process of acquisition,transmission and processing,images are susceptible to the environment,equipment and processing methods,which will generate different degrees of noise inevitably.When the noise density exceeds 50%,the noise information dominates the image information.The general single filtering methods such as median filtering,mean filtering and adaptive filtering filters out the details of the image itself while eliminating noise,which results in unclear images and poor filtering effects.Therefore,a new method of mixing filtering under high⁃density salt⁃and⁃pepper noise is proposed.In the method,three levels of mixed filtering are adopted,named noise reduction,denoising and edge enhancement.Finally,the image with noise density of 80%is used for test and verification.The results show that the noise is filtered out effectively,the detailed information of the image is restored,and good results are obtained.

关 键 词：图像去噪 混合滤波 细节保护 高密度噪声 椒盐噪声 边缘强化 噪点信息 自适应模糊中值 

分 类 号：TN911.73-34[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]