Wavelet-based multi-resolution image de-noising method of nonlocal

Non- local image denoising algorithm is a nonlinear, spatial averaging denoising algorithm , it does not cause blurred boundaries , so it is an effective de-noising algorithm . But the denoising algorithm is very time consuming , and so now the discussion for this algorithm is mainly focused on improving the acceleration or simplified . The main work of this article is nonlocal image denoising algorithm has been improved : multi-resolution nonlocal denoising algorithm using wavelet decomposition of the image signal is divided into high frequency part of the low-frequency signal is approximated nonlocal denoising algorithm, the high frequency detail signal filtration method using wavelet denoising . Experimental data and results indicate that images are , in effect, remained the same circumstances , our method approach is faster than the original , and in certain circumstances there is better performance.