• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2015, Vol. 37 ›› Issue (08): 1546-1550.

• 论文 • Previous Articles     Next Articles

Non-local means denoising based on wavelet threshold 

LI Jialang,LI Huajun,XU Qing   

  1. (School of Computer Science,Tianjin University,Tianjin 300072,China)
  • Received:2014-04-08 Revised:2014-07-12 Online:2015-08-25 Published:2015-08-25

Abstract:

The non-local means denoising algorithm can use the globe information of the picture, therefore it has better denoising effect than other traditional algorithms. However, since its time complexity is high, we put forth a new non-local means denoising algorithm based on wavelet threshold filter, which use much less data than the traditional non-local means.  Experimental results show that compared to the traditional non-local means, the denoising effect of our algorithm is basically the same, but the running speed is faster.

Key words: non-local means;wavelet threshold filter;image denoising