Robust image denoising with an improved wavelet threshold method

Abstract

This paper proposed an improved threshold function and threshold estimation method for analyzing the characteristics of the wavelet threshold denoising. Because hard threshold denoising makes boundaries fuzzy and soft threshold denoising has Gibbs phenomenon, the new threshold function and estimation method have better adaptive. Results show that the improved method can effectively remove the white noise, the improved method is better than the soft, hard threshold denoising.