Image Denoising Using Dual-tree Complex Wavelet Transform and Wiener Filter with Modified Thresholding

Abstract

This paper presents a new image denoising algorithm based on local variance estimation. In the process of denoising, the Wiener filter is used to remove the noise component of the dual-tree complex wavelet transform (DT-CWT) coefficients. The variances of noise-free coefficients are estimated by the DT-CWT coefficients transformed by modified thresholding. The tests show that the proposed method has better performance compared to the related algorithms.