基于Contourlet变换在图像去噪中的应用

Contourlet变换是小波变换的新发展,能更有效地捕捉图像中的几何结构。本文提出一种基于Contourlet变换的图像去噪方法。该方法通过对阈值去噪中的统一阈值和阈值函数进行分析,构造出一个新的阈值函数,新阈值函数在一定程度上改进了统一阈值"过扼杀"Con-tourlet系数的缺点,同时也使硬阈值去噪中出现的伪吉布斯现象得到解决。实验结果表明,本文采用的方法提高了去噪后图像的PSNR值,同时有效地保留了图像纹理信息,使视觉效果更好。

A method for image denoising based on Contourlet transform

The Contourlet transform is a new development of wavelet transformation,it can be more effective in capturing geometric structure of images,a method for image denoising based on the Contourlet transform is proposed in this paper.Through the analysis of uniform threshold and threshold functions in image denoising,a new threshold function is constructed,the new threshold function deals with the problem of snuffing out the Contourlet coefficients to exceed,and it also can solve the problem of pseudo-Gibbs phen...