Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device

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

Author LiChun
Tutor XuQing
School Tianjin University
Course Applied Computer Technology
Keywords Multi-resolution Non- local Denoising Wavelet decomposition Approximate coefficients Threshold filter
CLC TP391.41
Type Master's thesis
Year 2009
Downloads 58
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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.

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