摘要
针对传统的各向异性扩散去噪方法存在的导致图像细节丢失的问题,提出了一种基于平稳小波域的各向异性扩散图像去噪方法。该方法根据平稳小波变换的特性,通过在高频和低频子带上选用不同的梯度门限进行各向异性扩散,然后进行重构得到去噪后的结果图像。实验结果表明,该方法在有效去除噪声的同时,图像细节保留较好,去噪后的图像具有更好的质量。
Aiming at the detail losing problem caused by traditional space-based anisotropic diffusion,a new method of stationary wavelet-based anisotropic diffusion is purposed.Based on the character of stationary wavelet transform,anisotropic diffusion is applied in different sub-bands with different gradient threshold.Denoised image is reconstructed by diffused sub-bands.The experiment results show that this method is able to achieve a good effect in noise removal and detail preservation.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第4期180-182,共3页
Computer Engineering and Applications
关键词
各向异性扩散
平稳小波变换
图像去噪
anisotropic diffusion
stationary wavelet transform
image denoising
