摘要
乘性散斑噪声的干扰通常严重影响图像细节特征的辨识,其去噪方法的研究具有重要意义。文章选取五种典型的散斑噪声去噪方法,包括混合中值滤波、均值滤波、小波滤波、高斯滤波、及维纳滤波进行对比研究,采用两种客观评价指标进行评估,得出相关比较性结论。同时设计了散斑噪声去噪分析软件平台,便于进行不同去噪算法的对比分析。
The interference ofmultiplicative speckle noise usually seriously affects the identification of detail features in image, and its denoising method is of great significance. This paper selects five typical methods for speckle noise removal, including hybrid median filtering, mean filtering, wavelet filtering, Gaussian filtering, and Wiener filtering, tomake a comparison ontwo objective evaluation indexes, and then conducts a comparative conclusion. Meanwhile, the corresponding software platform is designed to facilitate the contrastand analysis of different denoising algorithms.
作者
余娇
罗泽峰
崔文超
Yu jiao;Luo Zefeng;Cui Wenehao(College of Computer and Information Technology,Three Gorges University,Yichang 443000,China)
出处
《信息通信》
2018年第6期34-37,共4页
Information & Communications
基金
湖北省教育厅科学技术研究计划项目(B2015244)
宜昌市自然基础科学研究与应用专项(A15-302-a04)
三峡大学科学基金(KJ2014B059)
关键词
散斑噪声
图像去噪
对比分析
speckle noise
image denoising
comparative analysis
