A BayesShrink denoising based on local characteristic of intra-and inter-scale in wavelet domain
Meiqing Wang · Fuzhou daxue xuebao. Ziran kexue ban · 2008
We use dual-tree complex wavelet transform to decompose and reconstruct an image.Based on BayesShrink denoising,we propose a new intra-scale and inter-scale adaptive thresholding algorithm.We construct a statistics and the corresponding mapping to produce a new BayesShrink threshold.Experiments show that the proposed method is better than recently published denoising methods,because the proposed method removes white noise more effectually and gets better edge preservation.