摘要
针对标准中值滤波方法存在的不足,提出了一种改进的自适应中值滤波方法。该方法用求得的均值自适应代替原噪声图像的灰度值。实验结果表明,与标准中值滤波方法相比,该方法在滤除噪声的同时,保留了图像细节且有较好的信噪比,尤其对含噪声密度高的图像的处理效果优势更为明显。
To overcome the drawbacks of the standard median filter,an improved method of adaptive image median filter is proposed.This new method instead of the original image gray value using obtained mean adaptively.Experiments show that,compared with the standard median filter,the method retains image details and has a good Signal-to-Noise Ratio while removing noises,especially to images with high noise density.
出处
《上饶师范学院学报》
2011年第6期38-41,共4页
Journal of Shangrao Normal University
基金
江西省教育厅科学技术研究项目(GJJ11608)
关键词
中值滤波
噪声
自适应
信噪比
Standard median filter
noise
adaptive
signal-to-noise ratio