Image denoising using PDTDFB and bivariate model
Guo Qing · Computer Engineering and Applications Journal · 2011
This paper proposes a new image denoising method based on the Pyramidal Dual-Tree Directional Filter Bank (PDTDFB)and the bivariate model under the framework of Bayesian MAP estimation theory.The proposed algorithm uses the PDTDFB’s advantages of approximative translation-invariant,multi-scale and multidirection-selectivity,exploits the intra-scale and inter-scale correlations of PDTDFB coefficients,and elaborates the method of noise estimation.Compared with current multi-scale theories(Contourlet,etc.) and some outstanding denoising methods,the simulation results and analysis show that the proposed algorithm obviously outperforms in both PSNR and visual quality,and effectively preserves detail and texture information of original images.