摘要
中值滤波和均值滤波通常被分别用来处理脉冲噪声和高斯噪声,但当图像同时存在高斯噪声和脉冲噪声时,单独用任何一种滤波方法都不能达到最好的去噪效果。针对这一问题,本文提出了一种改进的基于去噪阈值的图像混合滤波算法,可以更有效地减少噪声,又可以较好地保持图像的边缘细节信息。
Median filter and average filter are usually used to process impulse noise and Gaussian noise respectively. But when image is corrupted by Gaussian noise and impulse noise simultaneously, good filtering effect cannot be obtained if only using median fil- ter or average filter. In allusion to this question, an improved hybrid image filtering based on the denoising threshold was proposed in this paper. This method would suppress noise efficiently and preserve edge details of image at the same time.
出处
《测绘科学》
CSCD
北大核心
2013年第4期77-79,共3页
Science of Surveying and Mapping
基金
高分辨率遥感影像中城市道路网的提取研究(41271420)
利用高分辨率遥感数据更新主要地物信息方法研究(JSCHKY201201)
关键词
阈值
中值滤波
均值滤波
高斯噪声
图像去噪
threshold
median filter
average filter
Gaussian noise
image denoising
