基于USFFTCurvelet变换图像去噪算法

Image Denoising Algorithm based on USFFT Curvelet Transform

为了更好地保留图像的高频细节信息，有效地避免图像重构中出现边缘扭曲现象。提出一种基于USFFTCurveIet变换的图像去噪算法。该方法首先对噪声图像进行USFFTCurvelet变换，在变换域计算噪声图像具有的全局阈值，然后采用窗口技术自适应地估计每个处理像素的萎缩因子，通过usF几、Curvelet反变换得到去噪后的图像信号。实验结果表明本文算法取得较高的信噪比，更好地保留了图像中存在的边缘，同时在视觉效果上也取得了较好的效果。

In order to preserve the detail information of high frequency of images, and to avoid the phenomenon of edge slant during the image re- construction, The image denoising method via USFFT Curvelet transform is proposed in this paper. The USFFT Curvelet transform is used to the im- age, the global threshold value is estimated in the Curvelet domain. The window technique is used to compute the shrinkage factor corresponding to pixel value. The de-noised image signal is obtained by using inverse USFFT Curvelet transform. The experimental results show that the algorithm ob- tains a higher PSNR value for gray and color images. It preserves image edge well and acquires a good de-noised effect and visual effect.