A mine image enhancement algorithm

For poor images captured by coal mine video monitoring system with low contrast, uneven illumination and a lot of noise, a single scale Retinex algorithm based on simultaneous denoising of weighted guided filtering was proposed for underground image enhancement. Firstly, low-frequency components of...

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Main Authors: WANG Xing, BAI Shangwang, PAN Lihu, CHEN Lichao
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2017-03-01
Series:Gong-kuang zidonghua
Subjects:
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.03.011
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author WANG Xing
BAI Shangwang
PAN Lihu
CHEN Lichao
author_facet WANG Xing
BAI Shangwang
PAN Lihu
CHEN Lichao
author_sort WANG Xing
collection DOAJ
description For poor images captured by coal mine video monitoring system with low contrast, uneven illumination and a lot of noise, a single scale Retinex algorithm based on simultaneous denoising of weighted guided filtering was proposed for underground image enhancement. Firstly, low-frequency components of an image are estimated by the weighted guided filter, which replaces Gaussian filter in single scale Retinex algorithm. Secondly, high-frequency components of the image are denoised by the weighted guided filter. Finally, an enhanced image is obtained through conversion from log domain to real field. The subjective visual effect and objective evaluation results show the algorithm has better visual effect and higher image processing speed than traditional image enhancement algorithms.
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spelling doaj.art-d46b0883259d4c618b6b04758b1fda472023-03-17T01:41:39ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2017-03-01433485210.13272/j.issn.1671-251x.2017.03.011A mine image enhancement algorithmWANG Xing0BAI Shangwang1PAN LihuCHEN Lichao2Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaDepartment of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaDepartment of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, ChinaFor poor images captured by coal mine video monitoring system with low contrast, uneven illumination and a lot of noise, a single scale Retinex algorithm based on simultaneous denoising of weighted guided filtering was proposed for underground image enhancement. Firstly, low-frequency components of an image are estimated by the weighted guided filter, which replaces Gaussian filter in single scale Retinex algorithm. Secondly, high-frequency components of the image are denoised by the weighted guided filter. Finally, an enhanced image is obtained through conversion from log domain to real field. The subjective visual effect and objective evaluation results show the algorithm has better visual effect and higher image processing speed than traditional image enhancement algorithms.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.03.011mine imagevideo monitoring imageimage enhancementsingle scale retinex algorithmweighted guided filtering
spellingShingle WANG Xing
BAI Shangwang
PAN Lihu
CHEN Lichao
A mine image enhancement algorithm
Gong-kuang zidonghua
mine image
video monitoring image
image enhancement
single scale retinex algorithm
weighted guided filtering
title A mine image enhancement algorithm
title_full A mine image enhancement algorithm
title_fullStr A mine image enhancement algorithm
title_full_unstemmed A mine image enhancement algorithm
title_short A mine image enhancement algorithm
title_sort mine image enhancement algorithm
topic mine image
video monitoring image
image enhancement
single scale retinex algorithm
weighted guided filtering
url http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.03.011
work_keys_str_mv AT wangxing amineimageenhancementalgorithm
AT baishangwang amineimageenhancementalgorithm
AT panlihu amineimageenhancementalgorithm
AT chenlichao amineimageenhancementalgorithm
AT wangxing mineimageenhancementalgorithm
AT baishangwang mineimageenhancementalgorithm
AT panlihu mineimageenhancementalgorithm
AT chenlichao mineimageenhancementalgorithm