一种基于人眼视觉特性的Curvelet域紫外图像增强算法

张斌; 吴鹏; 袁杰; 孙凌卿; 傅启明; 张永泽; 陆宇

doi:10.11959/j.issn.1000-0801.2019042

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一种基于人眼视觉特性的Curvelet域紫外图像增强算法

研究与开发 | 更新时间：2024-06-05

- 一种基于人眼视觉特性的Curvelet域紫外图像增强算法
- An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics
- 电信科学 2019年35卷第3期页码：99-106
- 作者机构：
- 作者简介：
  
  [ "张斌（1973- ），男，江苏电力信息技术有限公司教授级高级工程师，主要研究方向为模式识别。" ]
  [ "吴鹏（1979- ），男，江苏电力信息技术有限公司高级工程师，主要研究方向为知识发现、模式识别。" ]
  [ "袁杰（1981-），男，江苏电力信息技术有限公司高级工程师，主要研究方向为机器学习、模式识别。" ]
  [ "孙凌卿（1982- ），男，现就职于江苏电力信息技术有限公司，主要研究方向为图像处理。" ]
  [ "傅启明（1980- ），男，江苏电力信息技术有限公司助理工程师，主要研究方向为图像处理。" ]
  [ "张永泽（1991- ），男，现就职于江苏电力信息技术有限公司，主要研究方向为图像处理。" ]
  [ "陆宇（1990- ），男，现就职于江苏电力信息技术有限公司，主要研究方向为图像处理。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2019042
  中图分类号： TP391
- 网络出版日期：2019-03，
  
  纸质出版日期：2019-03-20
- 稿件说明：
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张斌, 吴鹏, 袁杰, 等. 一种基于人眼视觉特性的Curvelet域紫外图像增强算法[J]. 电信科学, 2019,35(3):99-106.

Bin ZHANG, Peng,YUANJie WU, Lingqing SUN, et al. An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics[J]. Telecommunications science, 2019, 35(3): 99-106.
张斌, 吴鹏, 袁杰, 等. 一种基于人眼视觉特性的Curvelet域紫外图像增强算法[J]. 电信科学, 2019,35(3):99-106. DOI： 10.11959/j.issn.1000-0801.2019042.

Bin ZHANG, Peng,YUANJie WU, Lingqing SUN, et al. An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics[J]. Telecommunications science, 2019, 35(3): 99-106. DOI： 10.11959/j.issn.1000-0801.2019042.

摘要

针对紫外图像本身存在的对比度低、成像不清晰、整体成像过暗或过亮且受噪声干扰等特点，从人眼视觉的掩蔽特性出发，提出了一种基于人眼视觉特性的 Curvelet 域紫外图像增强算法。通过 Curvelet 变换将紫外图像信息分解到不同尺度、不同方向子带，再依据各子带建立HVS模型，利用其遮蔽性对高频分量进行非线性增益来提高图像对比度，同时非线性灰度拉伸低频分量可以提高图像整体亮度；最终将处理过的高低频分量通过 Curvelet 逆向重建，得到增强后的紫外图像。实验结果表明：增强后的图像符合人眼视觉对图像信息的提取，突出了边缘和目标的轮廓信息，在主观视觉和定量指标方面都具有明显的效果。

Abstract

Aiming at the characteristics such as low contrast

unclear imaging

over-dark or over-bright overall imaging and noise interference in ultraviolet image itself

a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking characteristics of human vision.Firstly

the ultraviolet image information was decomposed to different scales and direction sub-bands by Curvelet transform.Secondly

the HVS model was established according to each sub-band

and with its masking characteristics

the nonlinear gain of the high frequency component was used to improve the image contrast.Meanwhile

the low frequency component of nonlinear grayscale stretching could improve the overall brightness of the image.Finally

the processed high and low frequency components were reconstructed by Curvelet backward to obtain enhanced ultraviolet images.The experimental results show that the enhanced image accords with the extraction of image information from human vision and highlights the contour information of edge and target.In addition

it has obvious effect in subjective vision and quantitative index.

关键词

Keywords

references

陈磊 . 紫外检测技术在云南电网的应用 [J ] . 云南电力技术 , 2009 , 37 ( 3 ): 29 - 30 .

CHEN L . Application of ultraviolet detecting technology in Yunnan Power Grid [J ] . Yunnan Electric Power , 2009 , 37 ( 3 ): 29 - 30 .

寇晓适 , 卢明 , 夏中原 , 等 . 紫外放电检测在电力系统设备状态检修的应用 [J ] . 河南电力 , 2008 ( 1 ): 1 - 5 .

KOU X S , LU M , XIA Z Y , et al . Application of ultraviolet discharge detection in state maintenance of power system equipment [J ] . Henan Electric Power , 2008 ( 1 ): 1 - 5 .

李传才 , 魏泽民 . 紫外成像检测变电设备电晕放电的实际应用 [J ] . 浙江电力 , 2012 ( 4 ): 54 - 56 .

LI C C , WEI Z M . Practical application of ultraviolet imaging to detection of substation equipment corona discharge [J ] . Zhejiang Electric Power , 2012 ( 4 ): 54 - 56 .

尹立敏 , 张东建 , 陶玉忠 . 基于数学形态学的电晕日盲紫外图像处理方法研究 [J ] . 东北电力大学学报 , 2013 ( 1 ): 148 - 151 .

YIN L M , ZHANG D J , TAO Y Z . Corona solar blind ultravio-let image detecting method [J ] . Journal of Northeast Dianli Uni-versity(Natural Science Edition) , 2013 ( 1 ): 148 - 151 .

HUMMEL R . Image enhancement by histogram transformation [J ] . Computer Graphics and Image Processing , 1977 ( 6 ): 184 - 195 .

JOBSON D J , RAHMAN Z , WOODELL G . A multiscale retinex for bridging the gap between color images and the human observation of scenes [J ] . IEEE Transactions on Image Processing , 1997 , 6 ( 7 ): 965 - 976 .

崔克彬 , 李宝树 , 徐雪涛 , 等 . 基于图像增强技术的电气设备热故障自动诊断与定位 [J ] . 红外技术 , 2014 , 36 ( 2 ): 162 - 167 .

CUI K B , LI B S , XU X T , et al . Automatic diagnosis and posi-tioning of electrical equipment thermal faults based on image enhancement technology [J ] . Infrared Technology , 2014 , 36 ( 2 ): 162 - 167 .

吴颖谦 , 施鹏飞 . 基于小波变换的低对比度图像增强 [J ] . 红外与激光工程 2003 , 32 ( 1 ): 3 - 7 .

WU Y Q , SHI P F . Approach on image contrast enhancement based on wavelet transform [J ] . Infrared and Laser Engineering , 2003 , 32 ( 1 ): 3 - 7 .

赵季红 , 雷佩 , 王伟华 , 等 . 基于小波变换的 RLS 波束成形算法研究 [J ] . 电信科学 , 2015 , 31 ( 2 ): 108 - 112 .

ZHAO J H , LEI P , WANG W H , et al . RLS beamforming algo-rithm based on wavelet transform [J ] . Telecommunications Sci-ence , 2015 , 31 ( 2 ): 108 - 112 .

李丹 , 王慧倩 , 柏桐 , 等 . 基于双数复小波变换和形态学的脉搏信号去噪 [J ] . 电信科学 , 2016 , 32 ( 12 ): 93 - 98 .

LI D , WANG H Q , BAI T , et al . De-noising method of pulse signal based on double-tree complex wavelet transform and morphological filtering [J ] . Telecommunications Science , 2016 , 32 ( 12 ): 93 - 98 .

徐妮妮 , 张明明 , 汪剑鸣 . 纯二维5/3小波变换及其在CT图像无损压缩中的应用 [J ] . 电信科学 , 2016 , 32 ( 6 ): 73 - 82 .

XU N N , ZHANG M M , WANG J M . True 2-D 5/3 wavelet transform and its application for CT image lossless compres-sion [J ] . Telecommunications Science , 2016 , 32 ( 6 ): 73 - 82 .

SHAHAN C N , KAREN A P , SOS S A . Non-linear direct multi-scale image enhancement based on the luminance and contrast masking characteristics of the human visual system [J ] . IEEE Transactions on Image Processing , 2013 , 9 ( 22 ): 3549 - 3561 .

CANDES E , DEMANET L , DONOHO D , et al . Fast discrete curvelet transforms [J ] . Multiscale Modeling ＆ Simulation , 2006 , 5 ( 3 ): 861 - 899 .

杨家红 , 何明志 , 佘利忠 , 等 . 结合 USFFT Curvelet 变换的各向异性扩散图像去噪模型 [J ] . 通信学报 , 2009 , 30 ( 1 ): 82 - 87 .

YANG J H , HE M Z , SHE L Z , et al . Image de-noising monel integrating anisotropic diffusion with USFFT Curvelet trans-form [J ] . Journal on Communications , 2009 , 30 ( 1 ): 82 - 87 .

PANETTA K A , WHARTON E J , AGAIAN S S . Human visual system-based image enhancement and logarithmic contrast measure [J ] . IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics , 2008 , 38 ( 1 ): 174 - 188 .

BUCHSBAUM G . An analytical derivation of visual nonlinearity [J ] . IEEE Transactions on Biomedical Engineering , 1980 ( 5 ): 237 - 242 .

PANETTA K , ZHOU Y , AGAIAN S , et al . Nonlinear unsharp masking for mammogram enhancement [J ] . IEEE Transactions on Information Technology in Biomedicine , 2011 , 15 ( 6 ): 918 - 928 .

石丹 , 李庆武 , 倪雪 . 基于 Contourlet 变换的红外图像非线性增强算法 [J ] . 光学学报 , 2009 , 29 ( 2 ): 342 - 346 .

SHI D , LI Q W , NI X . Infrared image nonlinear enhancement algorithm based on Contourlet transform [J ] . Acta Optica Sinica , 2009 , 29 ( 2 ): 342 - 346 .

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