|本期目录/Table of Contents|

[1]彭 静,李新颖,贾君霞.一种改进的非局部均值井下图像去噪[J].工业仪表与自动化装置,2015,(06):83.
　PENG Jing,LI Xinying,JIA Junxia.An improved non-local means algorithm for underground image denoising[J].Industrial Instrumentation & Automation,2015,(06):83.
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一种改进的非局部均值井下图像去噪(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2015年06期
页码:
83
栏目:
出版日期:
2015-12-15

文章信息/Info

Title:
An improved non-local means algorithm for underground image denoising
文章编号:
1000-0682(2015)06-0000-00
作者:
彭 静; 李新颖; 贾君霞
（兰州交通大学 电子与信息工程学院，兰州 730070）
Author(s):
PENG Jing;  LI Xinying;  JIA Junxia
（Department of Electronic and information ,Lanzhou Jiaotong University, Lanzhou 730070, China）
关键词:
井下图像; 非局部均值; 中值滤波; 小波变换
Keywords:
underground image;  non-local means(NL-means);  median filtering;  wavelet Transform
分类号:
TP317.4
DOI:
-
文献标志码:
A
摘要:
针对井下图像噪声的特点，提出一种改进的非局部均值去噪算法，该算法通过小波变换将对井下图像进行多尺度分解，根据分解后图像噪声的分布特点，对低频部分采用非局部均值去噪，而对高频部分采用中值去噪，对去噪后的图像进行小波重构。实验结果表明，该算法在兼顾算法运算速度的同时，能有较高的峰值信噪比。
Abstract:
Considering the characteristics of noise of underground image, an improved non-local means denoising algorithms is proposed. In the algorithm, Wavelet Transform,was firstly applied to decompose the underground image in multi-scale;then according to the noise distribution characteristics of decomposed image, the non-local means method was used to denosie the low frequency components while the median filtering was used to denosie the high frequency components. Finally, we restructure the undergound image by denoised components. The experimental result show that the algorithm can have a higher PSNR and reduce the execution time compared to NLM.

参考文献/References:

[1] R R Coifman, D Donoho.TranslationInvariant denoising[M]. In Wavelets and Statistics,Springer-Verlag,NewYork,1995: 125-150.

[2] Lindenbaum Michael,Fischer M,Bruckstein Alfred M.On Gabor contribution to image enhangcement[J].Pattern Recognition, 1994.27(1):1-8.
[3] P Perona, J Malik. Scale-space and edge detection using anisotropic diffusion[J].IEEE Transactions on PAMI, 1990, 12(5):629-639.
[4] Huang T S, Yang G J, Tang G Y. A fast two-dimensional median filtering algorithm[J].IEEE Transactions on Acoustics,Speech and Signal Processing,1979,27(1):13-18.
[5] C Tomasi, R Manduchi. Bilateral filtering for gray and color images[A].Proceedings of International Conference on Com-puter Vision[C].Bombay,India,1998:839-846.
[6] A Buades, B Coll, JM Morel. A review of image denoising algorithms,with a new one[J].Multiscale Modeling and Simulation(SIAM Interdisciplanary Journal), 2005,4(2): 490-530.

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备注/Memo

备注/Memo:
收稿日期：2014-12-09
基金项目：甘肃省自然科学基金项目（1310RJZA001）；兰州交通大学青年基金项目资助（2013008）
作者简介：彭静（1981），女，湖北人，硕士，讲师，研究方向为无线通信，数字图像处理。
更新日期/Last Update: 1900-01-01