中值检测的迭代中值滤波算法  

Iterative median filtering algorithm based on median detection

作　　者：陈家益 董梦艺 战荫伟[3] 曹会英 熊刚强 CHEN Jiayi;DONG Mengyi;ZHAN Yinwei;CAO Huiying;XIONG Gangqiang(School of Information Engineering,Guangdong Medical University,Zhanjiang 524023,China;Second Clinical Medical College,Southern Medical University,Guangzhou 510515,China;School of Computer Science and Technology,Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]广东医科大学信息工程学院,广东湛江524023 [2]南方医科大学第二临床学院,广东广州510515 [3]广东工业大学计算机学院,广东广州510006

出　　处：《现代电子技术》2020年第7期70-73,77,共5页Modern Electronics Technique

基　　金：国家自然科学基金(61170320);广东省科技计划项目(2017B010110015);广州市科技计划项目(201604016034);广东省医学科研基金(B2018190);湛江市科技攻关计划项目(2017B01142)。

摘　　要：对于高密度的脉冲噪声,现有滤波算法的去噪性能并不理想,在噪声检测与噪声滤除上存在缺陷。鉴于此,提出中值检测的迭代中值滤波算法,对噪声检测和噪声滤除的方法分别进行有效的改进。算法用灰度最值进行噪声检测,再用邻域中值作进一步的检测。对于噪声像素,运用迭代的方法,用邻域中信号像素的中值取代,充分利用了前次滤波的结果。实验结果证明,相对于现有的滤波算法,所提出的算法有着更好的滤波性能,在滤除噪声的同时,很好地保持了图像的纹理边缘和细节。The denoising performances of the existing filtering algorithms are undesirable for removing the high density impulse noise,and they have defects in noise detection and removal,so an iterative median filtering based on median detection is proposed to effectively improve the techniques of noise dection and removal.In this algorithm,the gray extreme intensity value is adopted to perform noise detection,and then the median of neighborhood is used to perform further noise detection.The signal pixels in neighborhood are used to replace the noise pixels by iterative method,in which the previous denoising result is fully taken.The experimental results show that,in comparison with the existing filtering algorithms,the proposed filtering algorithm has better filtering performance and can perfectly maintain the texture edges and details of image while removing the noises.

关 键 词：图像去噪 噪声检测 噪声滤除 迭代中值滤波 加权中值滤波 中值检测 

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]