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Research on Image Nonlocal Denoising Algorithm based on Wavelet Decomposition

초록

영어

In the field of image denoising, nonlocal image denoising algorithm is a nonlinear, space average denoising algorithm, it will not cause boundary blurred, it is an effective denoising algorithm. But its application still has limitations because of it taking much longer time, in this paper, the method was improved, image signal can be divided into high frequency and low frequency part using wavelet decomposition, nonlocal denoising algorithm is used in low-frequency approximate signal, for high frequency detail signals using wavelet filtering method for denoising. The experimental results show that the method improves the speed of image processing and has good practical value.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. NLM Algorithm
  2.2. Wavelet Threshold Denoising Algorithm
 3. Improved NLM Model
 4. Experiment and Analysis
 5. Conclusion
 References

저자정보

  • Jing Zhang Dongchang College of Liao Cheng University, Liaocheng, China

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