Research of Image Denoising Based on Wavelet Threshold

Abstract

This paper introduces the denoising theory based on wavelet threshold ,and it presents a new threshold function based on traditional soft and hard threshold function and weighted threshold function。Simulation results show that：the new threshold function can be more effective to eliminate noise and restore image.

A Novel Speckle Noise Removal Algorithm Based on ADMM and Energy Minimization Method

“…Image denoising technology is mainly to input a degraded image with noise into the computer for processing, to eliminate the noise in the image, make it closer to the original image, and facilitate the subsequent processing. In the early image denoising work, it can be divided into filter based on convolution methods [1,2], wavelet based on image denoising methods [3,4], depth based on learning method, and partial differential equation (PDE) based methods [5][6][7][8].…”