基于Contourlet变换的图像智能去噪及融合算法研究

Image intelligent smart denoising based on Contourlet transform and the fusion algorithm research

在处理高维图像信号时,Contourlet变换比小波变换拥有更好的逼近精度、方向性以及系数表达能力,因此将Contourlet变换应用到图像处理领域已经成为研究热点。本研究总结了Contourlet变换的尺度内和尺度之间的依赖性,提出了基于Contourlet变换的图像智能去噪算法和图像融合算法,其算法能够较为有效地保留原图像的边缘细节,拥有较好的视觉效果。

When dealing with high dimensional image signal,Contourlet transform is better than wavelet transform have approximation precision,directional and coefficient expression ability,and therefore the Contourlet transform is applied to the field of image processing has become a hot research topic.This study summarized the dependencies between scale of Contourlet transform and scale,put forward the intelligent image denoising algorithm based on Contourlet transform and image fusion algorithms,the algorithm can effectively keep the original image edge details,have good visual effect.