Image denoising based on undecimated discrete wavelet transform

Abstract

A new image denoising approach based on undecimated discrete wavelet transform (UDWT) is proposed. The proposed method combines a technique of cone of influence (COI) analyzing and UDWT. Therefore it can effectively remove the impulse noise and preserve the image edges. Furthermore, combining with the traditional wavelet thresholding denoising method, it can be used to well decrease more widely type of the noise such as Gaussian noise, Poisson noise and even mixed noise. Simulation results show that the filtering performance of the proposed approach is very satisfactory.