穿透毛玻璃的可见光成像系统
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摘要
透过复杂介质获取目标物体图像精细信息的能力是光电图像采集处理的一大难点,选用CMOS光电图像传感器,设计了CMOS成像系统以及后端读取和处理电路,透过毛玻璃对目标物体成像,将采集的图像信息传送到计算机中进行处理。该系统按照相机光学成像系统原理制作,采用通用CMOS图像传感器芯片完成电路设计,加之红外激光辅助照明拍摄采集图像,由远及近不同距离分别对同一目标物成像,对成像图像进行迭代图像增强算法优化,可以解决毛玻璃非匀质问题,使光源重建精度大大提高,得到的可见光图像轮廓清晰,与一般CCD成像系统相比,识别率超过95%,远大于一般成像系统,且成像性能良好。
The ability to obtain fine information of object images through complex media is a major difficulty in photoelectric image acquisition and processing. The complementary metal oxide semiconductor(CMOS) photoelectric image sensor was adopted to design a CMOS imaging system and a back-end reading and processing circuit,the target object was imaged through the frosted glass, and the acquired image information is transmitted to the computer for processing.The system was fabricated according to the principle of camera optical imaging system. The circuit was completed by the general CMOS image sensor chip, and the image was acquired by infrared laser-assisted illumination shooting. The same target was imaged at far and near distances respectively, and the iterative image enhancement algorithm was optimized for the target image. It can solve the problem of non-uniformity of frosted glass, greatly improve the reconstruction precision of the light source, and obtain a clear outline of the visible light image. Compared with the general CCD imaging system, the recognition rate is over 95%, which is much larger than the general imaging system, and the imaging performance is good.
The ability to obtain fine information of object images through complex media is a major difficulty in photoelectric image acquisition and processing. The complementary metal oxide semiconductor(CMOS) photoelectric image sensor was adopted to design a CMOS imaging system and a back-end reading and processing circuit,the target object was imaged through the frosted glass, and the acquired image information is transmitted to the computer for processing.The system was fabricated according to the principle of camera optical imaging system. The circuit was completed by the general CMOS image sensor chip, and the image was acquired by infrared laser-assisted illumination shooting. The same target was imaged at far and near distances respectively, and the iterative image enhancement algorithm was optimized for the target image. It can solve the problem of non-uniformity of frosted glass, greatly improve the reconstruction precision of the light source, and obtain a clear outline of the visible light image. Compared with the general CCD imaging system, the recognition rate is over 95%, which is much larger than the general imaging system, and the imaging performance is good.
引文
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[2] LI Chengyong.Research on LED indoor optical communication system [J].Optical Communication Research,2018(3):73-76.李成勇.LED室内光通信系统研究[J].光通信研究,2018(3):73-76.
[3] LI Chengyong,Wang Zefang.Visible light indoor positioning system based on ultrasonic assisted ranging [J].Optical Communication Technology,2018(1):53-55.李成勇,王泽芳.基于超声波辅助测距的可见光室内定位系统[J].光通信技术,2018(1):53-55.
[4] PAN Wansheng,HOU Yinan,XIAO Shilin,et al.Image-based VLC indoor positioning mirror interference elimination technology [J].Optical Communication Technology.2017(8):48-50.泮万盛,侯忆楠,肖石林,等.基于成像的VLC室内定位镜面干扰消除技术[J].光通信技术,2017(8):48-50.
[5] YU Zezhang,WANG Xianpei,TIAN Meng,et al.Optical system design of micro-wide-band spectrometer [J].Journal of Applied Optics,2017,38(5):740-745.尤泽樟,王先培,田猛,等.微型宽波段光谱仪光学系统设计[J].应用光学,2017,38(5):740-745.
[6] OU Yangning,ZHENG Xueying,YUAN Hua,et al.Multi-focus image fusion based on NSCT and sparse representation [J].Computer Engineering and Design,2017,38(1):177-182.欧阳宁,郑雪英,袁华,等.基于NSCT和稀疏表示的多聚焦图像融合[J].计算机工程与设计,2017,38(1):177-182.
[7] ZHU Haibin,SHAO Yu,ZHANG Yuanjian,et al.Optical system design of visible/infrared dual-field panoramic aerial reconnaissance camera [J].Journal of Applied Optics,2017,38(1):7-11.朱海滨,邵毓,张远健,等.可见光/红外双视场全景式航空侦查相机光学系统设计[J].应用光学,2017,38(1):7-11.
[8] ZHAO Xiang,LIN Jiming.Theoretical limits of indoor visible light imaging sensor positioning system [J].Journal of Xi'an University of Electronic Science and Technology,2016,43(4):63-68.赵响,林基明.室内可见光成像传感器定位系统的理论极限[J].西安电子科技大学学报,2016,43(4):63-68.
[9] WANG Ling,TENG Guoqi,CHEN Jiao,et al.Optical system design and stray light analysis of on-board optoelectronic system TV camera [J].Journal of Applied Optics,2016,37(5):644-650.王凌,腾国奇,陈娇,等.车载光电系统电视摄像机光学系统设计及杂散光分析[J].应用光学,2016,37(5):644-650.
[10] DAI Shaosheng,XU Hong,LIU Qin.Infrared image enhancement algorithm based on human visual characteristics [J].Semiconductor Optoelectronics,2016(1) :115-118.代少升,徐洪,刘琴.基于人眼视觉特性的红外图像增强算法[J].半导体光电,2016(1):115-118.
[11] CUI Guangmeng,FENG Huajun,XU Zhihai,et al.Noise image quality evaluation based on CSF and affine reconstruction model [J].Journal of Zhejiang University (Engineering),2016,50(1) :144-150.崔光茫,冯华君,徐之海,等.基于CSF和仿射重建模型的噪声图像质量评价[J].浙江大学学报(工学版),2016,50(1):144-150.
[12] ZENG Hengliang,ZHANG Mengwei,LIU Zheng,et al.Polarization imaging target detection experiment using polarization characteristic factor [J].Optoelectronics Engineering,2016,43(2) :22-26.曾恒亮,张孟伟,刘征,等.利用偏振特性因子的偏振成像目标探测实验[J].光电工程,2016,43(2):22-26.
[13] MA Shuxin,GAO Feng,LIU Huan.Research on automatic focusing algorithm in computer vision detection [J].Microcomputer and Application,2015(24):78-81.马书新,高峰,刘欢.计算机视觉检测中自动调焦算法的研究[J].微型机与应用,2015 (24):78-81.
[14] WANG Xuepei,ZHAO Hongxia,LI Qinghui,et al.Basic research on analysis of color artworks by multi-spectral imaging technology [J].Acta Optica Sinica,2015,35(10) :312-319.王雪培,赵虹霞,李青会,等.多光谱成像技术分析彩色艺术品的相关基础研究[J].光学学报,2015,35(10):312-319.
[15] YANG Hong,KANG Dengkui,JIANG Changlu,et al.Research on integrated parameter calibration technology of visible light photoelectric imaging system [J].Journal of Applied Optics,2015,36(2):253-258.杨红,康登魁,姜昌录,等.可见光光电成像系统整机综合参数校准技术研究[J].应用光学,2015,36(2):253-258.