[1]赵振芬,陈远金,张猛蛟,等.景深差分提取绿色植物的真彩色夜视图像颜色校正[J].红外技术,2020,42(9):886-892.[doi:10.11846/j.issn.1001_8891.202009011]
 ZHAO Zhenfen,CHEN Yuanjin,ZHANG Mengjiao,et al.Color Correction of True-color Night Vision Image by Extracting Green Plants with Differential Depth of Field[J].Infrared Technology,2020,42(9):886-892.[doi:10.11846/j.issn.1001_8891.202009011]
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景深差分提取绿色植物的真彩色夜视图像颜色校正
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
42卷
期数:
2020年第9期
页码:
886-892
栏目:
出版日期:
2020-09-23

文章信息/Info

Title:
Color Correction of True-color Night Vision Image by Extracting Green Plants with Differential Depth of Field
文章编号:
1001-8891(2020)09-0886-07
作者:
赵振芬1陈远金12张猛蛟12陈东启1王岭雪1蔡毅13
1. 北京理工大学 光电学院 纳米光子学与超精密光电系统北京市重点实验室;
2. 华东光电集成器件研究所;3. 中国兵器科学研究院

Author(s):
ZHAO Zhenfen1CHEN Yuanjin12ZHANG Mengjiao12CHEN Dongqi1WANG Lingxue1CAI Yi13
1. School of Optics and Photonics, Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems, Beijing Institute of Technology;?
2. East China Institute of Optoelectronic Integrated Device;
3. China Research and Development Academy of Machinery Equipment

关键词:
颜色校正景深差分提取绿色植物色彩平衡真彩色夜视近红外
Keywords:
color correction differential depth of field extracting green plants color balance true-color night vision near-infrared
分类号:
TN223
DOI:
10.11846/j.issn.1001_8891.202009011
文献标志码:
A
摘要:
近红外辐射是夜天光的重要成分,充分利用近红外辐射是提高真彩色夜视成像系统信噪比的有效手段。然而,对近红外辐射反射率高的绿色植物在真彩色夜视图像中存在偏色严重的问题。本文分析了红、绿、蓝通道中绿色植物图像的灰度值分布后发现:①绿色植物区域的景深大;②全通通道和红色通道的差值为不含近红外辐射的绿、蓝分量之和,且绿色植物区域在差分图像中的绿、蓝分量很小。本文基于这两个特点提出一种景深差分提取绿色植物的方法,之后根据色彩平衡原理利用所提取的绿色植物区域去调整红色通道和蓝色通道的值。结果表明:该方法能够有效校正近红外辐射对图像色彩的影响,还原绿色植物图像的色彩。
Abstract:
Near-infrared radiation is an important component of night sky light. Making optimal use of near-infrared radiation is an effective method to improve the signal-to-noise ratio of true-color night vision imaging systems. However, green plants with high reflectance of near-infrared radiation introduce a strong color cast problem in true-color night vision images. In this study, we analyze the gray value distribution of green plant images in red, green, and blue channels and find that the depth of field of the green plant area is large. The difference between the all-pass channel and the red channel is the sum of the green and blue components, without the near-infrared radiation. In addition, the green and blue components of the green plant region are few in the difference image. Based on these two characteristics, in this study, we propose a color correction method for true-color night vision images. The method extracts green plants with differential depth of field, then uses the extracted green plant area to adjust the values of the red and blue channels, according to the color balance principle. The results show that the proposed method can effectively correct the influence of near-infrared radiation on image color and restore the image color of green plants in night vision images.

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备注/Memo

备注/Memo:
收稿日期:2019-01-20;修订日期:2020-08-11.
作者简介:赵振芬(1991-),女,河北张家口人,硕士研究生,主要从事彩色夜视成像和图像处理的研究。E-mail:18811753086@163.com。
通信作者:王岭雪(1973-),女,云南石屏人,副教授,博士,主要从事红外成像、图像处理和红外光谱等方面的研究。E-mail:neobull@bit.edu.cn。

更新日期/Last Update: 2020-09-21