基于双树复数小波变换的图像去噪方法

Image Denoising Algorithm Based on Dual Tree Complex Wavelet Transform

在双树复数小波的基础上引入平移不变的重要思想,使其具有真正意义上的平移不变性.提出了一种基于平移不变双树复数小波变换的图像去噪方法.实验结果表明该方法能有效提高图像去噪效果及图像边缘检测能力.

A novel dual tree complex wavelet thresholding based on translation-invariant theory is introduced to denoise image. Because of the only approximate shift invariant property of dual tree complex wavelet,the method is used to denoise image that still appears light gibbs artifacts. The new method makes it had full shift invariant property. Compared with the transform invariance wavelet method, the new approach can remove the visual artifacts and obtain better visual result and higher PSNR.