Image denoising by independent component analysis based on dyadic wavelet transform

Abstract

Based on the dyadic wavelet transform, the threshold and threshold function are obtained adaptive with the decomposition of the dyadic wavelet coefficient by to improve of the lower bound error the noise threshold, and layered processing for threshold function. The noise mixed image was separated denoising by independent component analysis. Experiments show that the proposed method improves the signal-to-noise rate. Moreover, It's better the image precision.