利用对偶树复数小波与全变差模型实现图像去噪的新方法

New Image Denoising Approach via Dual-tree Complex Wavelet and Total-variation Model

本文首先研究了一种三层小波系数相关萎缩的概念与性质,利用对偶树复数小波与全变差模型相结合,提出了一种新的图像去噪方法。实验结果表明,与现有的图像去噪方法相比,本文方法无论是在视觉还是在均方误差等方面均有更好的效果。

In this paper we propose the concept of three - layer shrinkage function and discuss related property, using the combination of dual - tree complex wavelet transform and total variation model, a new image denoising approach is achieved. We demonstrate through simulations with images contaminated that the performance of the proposed method surpass that of previously published method both visually and in terms of mean squared error.