Research on image denoising new method based on curvelet transform

Abstract

Wavelet transform only has spot singularity but curvelet transform has advantage of multi-scale singularity in each direction. After analyzing the method of image denoising by curvelet transform based on USFFT, the paper puts forward a new method WCSC, which uses wrapping and cycle-spinning combined curvelet transform to improve existing algorithm. According to the simulated experiment, the results of the denoised pictures show that the improved algorithm has reduced the Pseudo-Gibbs phenomena, can reserve more detail information, texture of images and get higher seeing impression and PSNR value under the noise standard deviation.