Image Denoising for Adaptive Threshold Function Based on the Dyadic Wavelet Transform

Based on the characteristic of dyadic wavelet transform to image denoising, this paper presents that denoising precision can be improved by the way that adopting different thresholds according to the different scales of the wavelet coefficients of image and noise to establish adaptive layered threshold function which adapts to it and reconstruct the wavelet. The experiment shows that by the method above the effect of image denoising is obviously superior to that of fixed threshold function.