高密度椒盐噪声图像的二次去噪方法
Two-step Denoising Algorithm to High Density Salt &Pepper Noisy Image
-
摘要: 针对高密度的椒盐噪声图像，提出了一种基于中值滤波和均值滤波的高效的二次去噪方法 （Two-Step Denoising Algorithm， TSDA）.数值试验表明，TSDA算法在保持图像边缘的同时能高效地去除高密度的椒盐噪声，较SMF方法和NDBA （New Decision-Based Algorithm）方法在检验指标MSE、PSNR和IEF上都有较大改进.Abstract: In order to remove the high density of salt &pepper noise, this paper proposes an efficient two-step denoising algorithm (TSDA), which is based the standard median filtering and the mean filter. Numerical experiment shows that TSDA is able to preserve edges and remove the high density salt &pepper noise efficiently. TSDA has more improvement on MSE, PSNR and IEF than SMF and New Decision-Based Algorithm (NDBA).
下载:
