Adaptive Threshold Image Denoising Methed Based on Dual-Tree Complex Wavelet Transform

Abstract

A adaptive thresholding image denoising algorithm based on dual tree complex wavelet transform (DT-CWT) is proposed. Experiments show that the method proposed yields denoised image with higher quality recovery of edges. It is capable of achieving the higher peak signal-noise-ratio (PSNR) and better visual quality.