摘要
数字图像在采集、传输和存储过程中极易受到混合噪声,特别是高斯-椒盐混合噪声的污染。传统滤波算法大多是针对某一种噪声而设计,对混合噪声的抑制效果并不明显。鉴于此,提出了一种基于高斯-椒盐混合噪声的新型滤波算法。实验结果表明:在主观和客观两方面的综合评价下,所提滤波算法对混合噪声的抑制要明显优于传统图像滤波算法,其在混合噪声的滤波上具有一定的参考价值。
The process of acquisition,transmission and storage makes image easier to be polluted with mixed noise,especially Gaussian-salt and pepper mixed noise.Considering the situation that conventional filtering algorithms are basically designed for some kind of noise with unsatisfactory suppression of mixed noise,this paper proposed a novel filtering algorithm based on Gaussian-salt and pepper noise.The experimental results reveal that the proposed algorithm outperforms the traditional algorithms in filtering out mixed noise under the comprehensive evalution of subjectivity and objectivity aspects.And it has certain reference value in filtering out mixed noise.
作者
张旭涛
ZHANG Xu-tao(Department of Electrical Engineering,Jiangsu College of Safety Technology,Xuzhou,Jiangsu 221011,China)
出处
《计算机科学》
CSCD
北大核心
2019年第B06期263-265,共3页
Computer Science
基金
国家自然科学基金(61473299)资助
关键词
高斯-椒盐混合噪声
滤波算法
评价标准
Gaussian-salt and pepper mixed noise
Filtering algorithm
Subjective assessment
