Image denoising using wavelet transform

Abstract

An image is often corrupted by noise in its acquisition and transmission. Removing noise from the original image is still a challenging problem for researchers. In this work new approach of threshold function developed for image denoising algorithms. It uses wavelet transform in connection with threshold functions for removing noise. Universal, Visu Shrink, Sure Shrink and Bayes Shrink, normal shrink are compared with our threshold function, it improves the SNR efficiently.