Local Adaptive Dual Tree Wavelet Based Image Denoising

Abstract

This paper proposes a wavelet based image denoising method, which implements a two
dimensional Dual Tree wavelet transform along with thresholding in different areas for
better denoising of an image. In this paper, local adaptive filtering is combined with Dual
Tree wavelet transform (DTWT) to get better results. Parameters like peak signal to noise
ratio (PSNR) and mean square error (MSE) are estimated to indicate that the proposed
approach gives more appropriate results as compared to some of the existing algorithms.