摘要
利用图像小波系数空间相关性可以有效去除图像噪声的特点,将小波局部阈值放大法和兼顾软、硬阈值优点的半软阈值函数相结合,进行静态图像和CCD视频图像去噪。通过静态图像和CCD视频图像去噪仿真实验及分析,证明了所提出的算法相对于维纳滤波方法,在性能上有了改善,且信噪比有了提高。
Spatial correlation among image wavelet coefficients can be effectively exploited to the noise removal in images. Aiming at the characteristic, a method was proposed combining the local threshold wavelet method with the semi-soft threshold to de-noise. Analyses and simulation results show that the algorithm improves performance better than wiener filter for the still image and CCD video image, especially, the PSNR being improved remarkably.
出处
《机电工程》
CAS
2007年第11期18-20,共3页
Journal of Mechanical & Electrical Engineering
基金
安徽省高校青年教师科研资助项目(2005jq1230)
关键词
小波变换
去噪
阈值
视频图像
电荷耦合器件
wavelet transform
de-noising
threshold
video image
charge couple device （CCD）
