噪声点位置已知的自适应滤波算法比较研究  

Comparison of Different Adaptive Filter Algorithms with Noise Location Given

作　　者：徐仙伟[1] 窦艳艳 田素诚[1] 

机构地区：[1]南京森林警察学院信息技术系,江苏南京210023 [2]南京高等职业技术学校电气工程系,江苏南京210019

出　　处：《电子科技》2014年第12期13-16,共4页Electronic Science and Technology

基　　金：中央高校基本科研基金资助项目(LGYB201410)

摘　　要：高效滤除图像中椒盐噪声的方法大多采用先检测被污染图像中椒盐噪声的位置,再有针对性地对椒盐噪声进行处理的方法。噪声检测算法精度均较高,滤波质量与后续采用的自适应开关滤波算法息息相关。文中在图像椒盐噪声位置已知的情况下,比较研究了应用较为广泛的3种自适应开关滤波算法的去噪性能。Most efficient methods for removing salt and pepper noise from the image detect noise at first, and then deal with the noise based on the detection result. The accuracy of those noise detection algorithms is high and the quality of the filter is closely related to the adaptive switch filter algorithm. A comparison of the performance of the three adaptive switching filter algorithms is made with the location of noise in image known.

关 键 词：椒盐噪声 位置已知 自适应滤波 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]