摘要
真实的自然图像常被各类图像噪声污染,而传统去噪方法普遍只针对一种噪声类型设计,因此在处理混合噪声时往往去噪效果不佳。针对这一问题,提出一种快速二步交叉非局部混合滤波算法。该滤波包括二步交叉滤波部分与整体滤波部分,在二步交叉滤波部分,首先找到像素灰度的极值点进行定位,并使用非局部中值滤波对极值点进行简单的去除椒盐噪声,求出图像的差值积分图,最后使用改进的加速非均值滤波进一步去除噪声。在整体滤波部分,使用非局部中值滤波整体去除噪声。实验结果表明,所提算法在高强度的混合噪声污染情况下,修复的图像获得了更高的测量指标和更加理想的视觉效果。
Real natural images are often contaminated by various kinds of image noise.Traditional denoising methods are generally designed for only one type of noise,so the denoising effect is not good when dealing with mixed noise.To solve this problem,a fast two-step cross non-local hybrid filtering algorithm is proposed.Firstly,the extremum point of pixel gray level is located.The non local median filter is used to remove salt and pepper noise,and the difference integral image of the image is obtained.And then the improved non mean filter is used to further remove the noise.Finally,the non local median filter is used to further remove the noise.The experimental results show that the proposed algorithm achieves higher measurement index and better visual effect in the case of high intensity mixed noise pollution.
作者
郑宏亮
王奕
张天壮
刘芳菲
傅博
ZHENG Hongliang;WANG Yi;ZHANG Tianzhuang;LIU Fangfei;FU Bo(College of Computer and Information Technology,Liaoning Normal University,Dalian 116081,China)
出处
《吉林大学学报（信息科学版）》
CAS
2021年第5期498-503,共6页
Journal of Jilin University（Information Science Edition）
基金
中国博士后基金资助项目(2019M651123)
辽宁师范大学教师指导本科生科研训练基金资助项目(CX202002022)。
关键词
非局部均值滤波
非局部中值滤波
积分图像应用
图像去噪
混合噪声去除
non-local mean filter
non-local median filter
application of integral image
image denoising
mixed noise removal
