基于高斯型点扩展函数的红外图像热源复原

陈树越; 朱双双; 蒋星; 徐扬

doi:10.7510/jgjs.issn.1001-3806.2016.02.025

基于高斯型点扩展函数的红外图像热源复原

1.
常州大学信息科学与工程学院, 常州 213164

作者简介: 陈树越(1963-),男,教授,博士,主要研究方向为检测技术、数字图像处理。E-mail:csyue2000@163.com.

基金项目:
国家自然科学基金资助项目(51176016)
中图分类号: TN911.73

Heat source restoration of infrared images based on Gaussian point spread function

1.
School of Information Science and Engineering, Changzhou University, Changzhou 213164, China
CLC number: TN911.73

摘要: 为了复原红外图像的热源,采用高斯点扩展函数的方法来增强热源的清晰度和对比度。首先,确定热源图像的高斯点扩展函数,建立其退化模型;然后,采用维纳滤波的方法复原红外图像中的热源,对复原图像通过YIQ变换来复原其温度场彩色信息;最后,通过边缘锐度和标准差评价分析热源复原的质量,并与盲复原算法对比。结果表明,边缘锐度边缘锐度和标准差分别提高了0.502%和0.124%。基于高斯型点扩展函数的方法对红外图像的热源复原具有明显的效果。
- 图像处理 /
- 热源复原 /
- 高斯点扩展函数 /
- 维纳滤波 /
- 质量评价
Abstract: In order to restore the heat source in infrared images, Gaussian point spread function (PSF) was presented to improve the definition and contrast of infrared heat source. Firstly, the PSF of the heat source images was determined and the degradation model was established. Wiener filtering was used to restore the infrared radiation source and the color information of temperature field was restored by YIQ transform. Finally, the restoration image was evaluated quantitatively by edge acutance value (EAV) and standard deviation, and the restoration method was compared with blind restoration algorithm. The results show that EAV and standard deviation increase 0.502% and 0.124% respectively. The restoration method of heat source of infrared images based on Gaussian point spread function is effective obviously.
- image processing /
- heat source restoration /
- Gaussian point spread function /
- Wiener filter /
- quality evaluation

[1]	AVDELIDIS N P. A look on thermography:from passive to active NDT E surveys[J]. Proceedings of the SPIE, 2007, 6541:654115.
[2]	ROGALSKI A. Recent progress in infrared detector technologies[J].Infrared Physics Technology, 2011, 54(3):136-154.
[3]	LI Y H. Temperature measurement technology and its application research based on infrared thermal imaging[D]. Harbin:Harbin Institute of Technology,2010:1-13(in Chinese).
[4]	YU Z Q. Infrared thermal imaging technology in the application of the turbine fault diagnosis[D].Daliann:Daliann Maritime University, 2013:14-18(in Chinese).
[5]	LI M X, LU G J, HU Zh R, et al. Research on fire endurance of tempered glass based on infrared imaging technology[J].Procedia Engineering, 2014, 84:553-557.
[6]	WANG R, HE X J, ZHOU H Ch, et al. Design of infrared signal detection circuit in a temperature calibration system[J]. Laser Technology, 2013, 37(2):247-250(in Chinese).
[7]	DELPUEYO D, BALANDRAUD X, GRDIAC M. Heat source reconstruction from noisy temperature fields using an optimised derivative Gaussian filter[J]. Infrared Physics Technology, 2013, 60:312-322.
[8]	YANG L, DEHGHAN M, YU J N, et al. Inverse problem of time-dependent heat sources numerical reconstruction[J]. Mathematics and Computers in Simulation, 2011, 81(8):1656-1672.
[9]	HEDJAM R, CHERIET M. Historical document image restoration using multispectral imaging system[J]. Pattern Recognition, 2013, 46(8):2297-2312.
[10]	JOACHIMIAK M, CIAL/KOWSKI M. Optimal choice of integral parameter in a process of solving the inverse problem for heat equation[J]. Archives of Thermodynamics, 2014, 35(3):256-280.
[11]	STALLINGA S, RIEGER B. Accuracy of the Gaussian point spread function model in 2-D localization microscopy[J]. Optics Express, 2010, 18(24):24461-24476.
[12]	CHEN Sh Y, LU H N. The scattering and its correction of the industrial X-ray imaging[J]. Introducing Journal of China Ordnance, 2004, 25(2):163-166(in Chinese).
[13]	REINDL K, ZHENG Y, KELLERMANN W. Analysis of two generic Wiener filtering concepts for binaural speech enhancement in hearing aids[C]//18th European Signal Processing Conference (EUSIPCO-2010). Aalborg, Denmark:The European Association for Signal Processing (EURASIP), 2010:989-993.
[14]	BOZZOLI F, PAGLIARINI G, RAINIERI S. Experimental validation of the filtering technique approach applied to the restoration of the heat source field[J]. Experimental Thermal and Fluid Science, 2013, 44:858-867.
[15]	LUE W, TSAI C. Method for estimating white point shift for auto white balance:US,7177467[P]. 2007-02-13.
[16]	WANG H, ZHONG W, WANG J, et al. Research of measurement for digital image definition[J]. Journal of Image and Graphics, 2004, 9(7):828-831.
[17]	MANDHARE R A, UPADHYAY P, GUPTA S. Pixel-level image fusion using brovey transforme and wavelet transform[J]. International Journal of Advanced Research in Electrical, Electronics and Instrcumentation Engineering, 2013, 2(6):2692-2693.

[1]	陈树越 , 刘金星 , 丁艺 . 基于小波变换的红外与X光图像融合方法研究. 激光技术, 2015, 39(5): 685-688. doi: 10.7510/jgjs.issn.1001-3806.2015.05.021
[2]	郎川萍 , 杨仁怀 . 基于改进脊波变换的红外视频图像高质量复原. 激光技术, 2015, 39(2): 247-251. doi: 10.7510/jgjs.issn.1001-3806.2015.02.022
[3]	未永飞 , 杜正春 , 姚振强 . 中值滤波在激光雷达点云数据预处理中的应用. 激光技术, 2009, 33(2): 213-216.
[4]	顾国庆 , 王开福 , 燕新九 . 基于同态滤波的电子散斑干涉图像处理. 激光技术, 2010, 34(6): 750-752,797. doi: 10.3969/j.issn.1001-3806.2010.06.009
[5]	张怡霄 , 杜惊雷 , 高福华 , 姚军 , 曾阳素 , 郭永康 . 分数域啁啾滤波及其在数字图像处理中的应用. 激光技术, 2003, 27(1): 78-80.
[6]	房垚鑫 , 郭宝峰 , 马超 . 基于改进点扩散函数的遥感图像超分辨率重建. 激光技术, 2019, 43(5): 713-718. doi: 10.7510/jgjs.issn.1001-3806.2019.05.024
[7]	王其华 , 叶苗 . 基于裂变自举粒子滤波的红外目标跟踪处理. 激光技术, 2011, 35(1): 141-144. doi: 10.3969/j.issn.1001-3806.2011.01.038
[8]	张凡 . 红外图像改进非局部均值滤波算法研究. 激光技术, 2015, 39(5): 662-665. doi: 10.7510/jgjs.issn.1001-3806.2015.05.016
[9]	陶昕辰 , 朱涛 , 黄玉玲 , 高恬曼 , 何博 , 吴迪 . 基于DDR GAN的低质量图像增强算法. 激光技术, 2023, 47(3): 322-328. doi: 10.7510/jgjs.issn.1001-3806.2023.03.006
[10]	雷选华 , 孔小健 , 杨文亮 . 基于粒子群优化的正则化水下图像盲复原. 激光技术, 2015, 39(6): 811-814. doi: 10.7510/jgjs.issn.1001-3806.2015.06.017
[11]	何易德 , 朱斌 , 汤磊 , 蒲小平 , 王升哲 , 代辉 , 郭志伟 , 王捷 . 基于非局部先验红外运动模糊图像复原方法. 激光技术, 2024, 48(4): 463-469. doi: 10.7510/jgjs.issn.1001-3806.2024.04.002
[12]	曹国强 , 刘禹廷 , 王琳霖 . 改进非下采样轮廓波在散斑条纹中的滤波处理. 激光技术, 2019, 43(2): 269-274. doi: 10.7510/jgjs.issn.1001-3806.2019.02.022
[13]	罗元 , 蔡祖嫘 , 张毅 . 基于改进的各向异性SUSAN算法的MEMS微结构图像滤波. 激光技术, 2015, 39(1): 85-89. doi: 10.7510/jgjs.issn.1001-3806.2015.01.017
[14]	李旭寒 , 董安国 , 封建湖 . 基于多级引导滤波器的图像区域融合算法. 激光技术, 2016, 40(5): 756-761. doi: 10.7510/jgjs.issn.1001-3806.2016.05.029
[15]	刘艾琳 . 基于提升小波变换的红外图像双重滤波算法. 激光技术, 2015, 39(4): 545-548. doi: 10.7510/jgjs.issn.1001-3806.2015.04.026
[16]	冯军波 , 周昕 . 点光源照射下彩色图像随机相位编码的实现. 激光技术, 2008, 32(6): 621-623.
[17]	李文龙 , 戈海龙 , 任远 , 成巍 . 图像处理技术在激光熔池温度检测的应用. 激光技术, 2018, 42(5): 599-604. doi: 10.7510/jgjs.issn.1001-3806.2018.05.004
[18]	张海庄 , 姚梅 , 雷萍 , 李鹏 , 曾庆平 . 远场激光光斑图像处理方法研究. 激光技术, 2013, 37(4): 460-463. doi: 10.7510/jgjs.issn.1001-3806.2013.04.010
[19]	邓文波 , 陈华 , 聂雄 . 数字共焦显微镜实验3维点扩散函数的构建. 激光技术, 2018, 42(6): 769-774. doi: 10.7510/jgjs.issn.1001-3806.2018.06.008
[20]	孟宇帆 , 张丽君 , 何长涛 , 肖婧 , 阳宁静 , 冯国英 , 韩敬华 . 基于图像处理的激光清洗飞机蒙皮特性和机制研究. 激光技术, 2024, 48(3): 303-311. doi: 10.7510/jgjs.issn.1001-3806.2024.03.002

点击查看大图

计量

文章访问数: 6596
HTML全文浏览量: 3490
PDF下载量: 526
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

留言板

基于高斯型点扩展函数的红外图像热源复原

作者简介: 陈树越(1963-),男,教授,博士,主要研究方向为检测技术、数字图像处理。E-mail:csyue2000@163.com.

Heat source restoration of infrared images based on Gaussian point spread function

计量

基于高斯型点扩展函数的红外图像热源复原

作者简介: 陈树越(1963-),男,教授,博士,主要研究方向为检测技术、数字图像处理。E-mail:csyue2000@163.com

English Abstract

Heat source restoration of infrared images based on Gaussian point spread function

全文HTML

目录

留言板

基于高斯型点扩展函数的红外图像热源复原

作者简介: 陈树越(1963-),男,教授,博士,主要研究方向为检测技术、数字图像处理。E-mail:csyue2000@163.com.

Heat source restoration of infrared images based on Gaussian point spread function

计量

出版历程

基于高斯型点扩展函数的红外图像热源复原

作者简介: 陈树越(1963-),男,教授,博士,主要研究方向为检测技术、数字图像处理。E-mail:csyue2000@163.com

English Abstract

Heat source restoration of infrared images based on Gaussian point spread function

全文HTML

目录