New Image Denoising Method Based Wavelet and Curvelet Transform
Li Hongqiao, Shengqian Wang, Chengzhi Deng · 2009
Wavelet multiresolution analysis is widely used and achieves good results in image denoising fields. Wavelet transform has unique advantages in dealing with singular point, but has some disadvantages in dealing with the borders and the line features of the image. But curvelet transform has the finest approximation of the singular curve in the image. In this paper, we combine the wavelet transform and curvelet transform to deal with the noisy image. The results show that the proposed method is better than only using wavelet transform or curvelet transform to deal with noisy image, that is to say this method can get better visual effects and higher PSNR.