[1]李 孟,李俊山,张士杰,等.一种基于热成像原理的图像热噪声去除算法[J].红外技术,2013,35(09):567-570.[doi:10.11846/j.issn.1001_8891.201309008]
 LI Meng,LI Jun-shan,ZHANG Shi-jie,et al.IR Image Denoising Algorithm Based on Principle of Thermal Imaging[J].Infrared Technology,2013,35(09):567-570.[doi:10.11846/j.issn.1001_8891.201309008]
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一种基于热成像原理的图像热噪声去除算法
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
35卷
期数:
2013年09期
页码:
567-570
栏目:
出版日期:
2013-09-20

文章信息/Info

Title:
IR Image Denoising Algorithm Based on Principle of Thermal Imaging
文章编号:
1001-8891(2013)09-0567-004
作者:
李 孟1李俊山1张士杰1王 丽2
1.第二炮兵工程大学信息工程系,陕西 西安 710025;
?2. 96630部队,北京,102206
Author(s):
LI Meng1LI Jun-shan1ZHANG Shi-jie1WANG Li2
1.Department of Information Engineering, Second Artillery Engineering University, Xi’an 710025, China;
2. 96630 Unit of PLA, Beijing 102206, China
关键词:
光学头罩' target="_blank" rel="external"> FONT-FAMILY: 仿宋_GB2312">光学头罩热噪声光线追迹图像去噪
Keywords:
optical windowthermal radiation noiseray-tracingimage denoising
分类号:
TJ760,TN21,O43
DOI:
10.11846/j.issn.1001_8891.201309008
文献标志码:
A
摘要:
针对气动热环境下高温头罩对红外成像系统造成的热辐射噪声干扰问题,提出了一种基于热成像原理的图像热噪声去除算法。首先,利用有限取样光线代表连续光线,在头罩内对取样光线进行反向追迹,分析得到头罩温度和传感器热辐射噪声成像灰度之间的关系;其次,利用Vega软件仿真得到一定大气条件下点光源通过高温头罩的红外图像;最后,根据前面得到的头罩温度和热噪声成像灰度之间的关系,计算得到高温头罩的红外成像灰度分布,将热辐射噪声视为加性噪声,从目标的红外图像中减去该噪声得到去除热噪声后图像。实验结果表明,该方法去除热辐射噪声效果明显,图像质量得到了改善,弥补了硬件制冷的不足,为下一步的图像复原打下了很好的基础。
Abstract:
An infrared image denoising algorithm based on the theory of thermal imaging is put forward to suppress the thermal radiation noise in infrared imaging system caused by high temperature optical window in the aero-dynamic environment. Firstly, limited sample ray is used to represent the continuous ray which is traced reversely, the relationship between the temperature of the optical window and the image gray scale of the thermal noise is calculated. Secondly, the infrared image of a point source which is through the high temperature optical window under some atmospheric condition is simulated by the Vega. Finally, the infrared imaging gray level distribution of the optical window is calculated based on the relationship between the temperature and the image gray scale. The thermal radiation noise is regarded as additive noise which is removed from the infrared image of the target. The results of the experiment show that the method to remove thermal radiation noise takes effect obviously and the infrared image quality is therefore improved. The method makes up for the deficiency of the refrigeration hardware and lays a good foundation for the next step of image restoration.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2013-07-02;修订日期:2013-08-22.
作者简介:李孟(1988-),女,河北保定人,硕士研究生,主要研究方向为数字图像处理和目标识别。
基金项目:国家自然科学基金,超声速飞行器气动光学效应红外图像复原理论与方法研究,编号:61175120。
更新日期/Last Update: 2013-09-25