基于平稳Contourlet变换的自适应阈值去噪*

应用平稳Contourlet变换,具有平移不变性,且能有效表示图像几何纹理信息.在去噪应用中采用自适应的Bayes阈值方法,结合硬阈值方法实现图像去噪.试验结果表明,该方法提高了去噪后图像的PSNR,同时有效保存了图像纹理信息,视觉效果更好.

Adaptive thresholding for image denoising via sationary Contourlet transform

Stationary Contourlet transform with shifl-invariant was applied to image denoising, which could capture the intrinsic geometrical structure of image. Meanwhile, the adaptive Bayes threshold with hard threshold function was implemented to image denoising. The experimental results show that the method can get higher PSNR value and better visual effect compared with other methods.