摘要
利用Contourlet变换分解图像获得系数矩阵,对系数矩阵进行不同程度的各向异性扩散,经Contourlet逆变换实现图像重构,最后采用残差分析对图像进行处理。实验表明,该方法能够有效地抑制图像噪声,同时保留了图像的结构信息。
The coefficient matrix is decomposed using Contourlet transform to decompose the image,the coefficient matrix is anisotropically diffused to different degrees,the image is reconstructed by Contourlet inverse transform,and finally the image is processed by residual analysis.Experiments show that this method can effectively suppress image noise,while retaining the image structure information.
作者
方庆欢
FANG Qing-huan(School of Computer Science and Engineering,Anhui University of Science and Technology,Huainan Anhui 232000)
出处
《数字技术与应用》
2020年第5期124-124,126,共2页
Digital Technology & Application
