[1]陈钱,顾国华,柏连发,等.微光图像实时对比度增强处理[J].南京理工大学学报(自然科学版),1997,(04):9-12.
 Chen Qian Gu Guohua Bai Lianfa Wang Yu.Real time Contrast Stretching in Low light level Image Processing[J].Journal of Nanjing University of Science and Technology,1997,(04):9-12.
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微光图像实时对比度增强处理()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
1997年04期
页码:
9-12
栏目:
出版日期:
1997-08-30

文章信息/Info

Title:
Real time Contrast Stretching in Low light level Image Processing
作者:
陈钱顾国华柏连发王钰
南京理工大学电子工程与光电技术学院, 南京210094
Author(s):
Chen Qian Gu Guohua Bai Lianfa Wang Yu
School of Electronic Engineering and Optoelectronic Technology, NUST, Nanjing 210094
关键词:
图像增强 实时 处理 灰度 变换 微光图像
Keywords:
image enhancement real t ime pro cessing gray scale t ransformat ions low -light-level imag e
分类号:
TN223
摘要:
对比度低是微光图像主要特征之一,对比度扩展是微光图像增强处理的重要技术手段。该文详细叙述了采用灰度变换方法提高对比度的基本原理,在分析不同照度下微光图像直方图分布的基础上,建立了专门的灰度变换函数,并完成了硬件电路的设计与调试,实现微光图像的实时处理。该方法可直接应用于微光电视系统,能够显著地提高微光图像质量。
Abstract:
Low cont rast is one of the main char acterist ics of the low -lig ht-level imag e, and contr ast st retching is the important technical metho d to enhance the image. In this paper, the basic principle o f realizing cont rast st retching by grey-level transforming is described in detail . By analysing the histog ram of low -light-level image in different illuminance, the special grey-level t ransforming funct ion is established and the development of the circuit is f inished, so the real-time pr ocessing o f the low -light-lev el image is r ealized. In low -l ig ht-level television system, this method can be used direct ly and the quality of the image can be impr oved great ly.

参考文献/References:

1 Asato la T , Haav isto P, Neuvo Y. Vector median filter . Pr oceedings of IEEE, 1990: 4: 384 ~387
2 Bo ger S Yuva l, T ur Mo she. Simple r ea l-time noise r emov al in intensified low -lig ht -level t elev isio n image. Applied Optics, 1992: 31( 17) : 161~165
3 Alp Bilg e, Haav isto Per i. Median-based algo rithms for imag e sequence pr ocessing . Visual Communica tions and Image Pro cessing’9 0 Pro ceeding s o f the SPIE, 1990, 136: 1347~1351
4 Becl Wo ut er. Imag e enhancement and mo ving ta rg et detectio n in IR imag e sequences. I nfr ared Technolog y XIX Pro ceeding s o f the SPIE , 1993, 2020: 2031~2035

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备注/Memo

备注/Memo:
国防科技重点预研项目
陈钱 男 32 岁 副教授
更新日期/Last Update: 2013-03-29