A New Soft-Thresholding Image Denoising Method

In this paper, we propose a new method of noise removal from an image corrupted with Gaussian noise using soft-thresholding. There are two types of thresholding: Soft and Hard thresholding. The Universal thresholding method i.e. VisuShrink is based on the Hard-thresholding and it is not appropriate for Soft-thresholding. Our proposed method is simple and adaptive since the estimation of thresholding parameters depends on the data of wavelet coefficients. According to the experimental results, this proposed method has higher Peak Signal-to-Noise Ratio (PSNR) and visual effects than the VisuShrink.