Image Denoising Algorithm Based on Dual Tree Complex Wavelet Transform
基于双树复数小波变换的图像去噪方法

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.