北京交通大学学报2017，Vol.41Issue(5)：43-51,9.DOI:10.11860/j.issn.1673-0291.2017.05.007
具有去除椒盐噪声能力的改进双边滤波算法
An improved bilateral filtering algorithm having the ability to remove salt-and-pepper noise
摘要
Abstract
In allusion to the feature of bilateral filter having not the ability to remove salt-and-pepper noise,this paper proposes a adaptive template replacement algorithm,which firstly replaces the pixel value of bilateral filtering template areas and then bilateral filtering can be made for the replaced template areas to have the ability to remove the salt-and-pepper noise when equipped with the capacity of removing low-frequency noise while remaining edge with bilateral filtering.The experimental results show that improved bilateral filtering algorithm can remove salt-andpepper noise well,and compared with several classical algorithms having the ability to remove salt-and-pepper noise,the average value of PSNR calculated by the proposed algorithm has been improved more than 5.8％ and the average value of SSIM has been enhanced more than 2.75％ under the condition of 10％～90％ of noise density.关键词
图像处理/双边滤波/模板替换/椒盐噪声Key words
image processing/bilateral filtering/template replacement/salt-and-pepper noise分类
信息技术与安全科学引用本文复制引用
周航,韩权..具有去除椒盐噪声能力的改进双边滤波算法[J].北京交通大学学报,2017,41(5):43-51,9.基金项目
国家自然科学基金项目(61573057)National Natural Science Foundation of China (61573057) （61573057）
