基于光参量放大相位共轭特性的图像修复与增强

非线性光学相位共轭技术可将经过散射介质后产生畸变的光学波前进行修复.本文基于光参量放大(OPA)过程的光学相位共轭(OPC)特性,进行了光学相位共轭图像修复和增强的实验研究.基于大能量532 nm皮秒抽运激光和大口径非线性光学晶体KTiOPO_4(KTP)(Ⅱ类相位匹配),对经过牛奶乳浊液后已无法识别的1064 nm近红外光学图像,进行相位共轭修复,修复后的图像分辨率达12线/mm,此外,结合OPA过程的光学增益特性,实现了超过17 dB的光学图像增强,为现有三波混频光学相位共轭修复畸变所获图像增益的最大值.在此基础上,峰值信噪比较修复之前有160%的提升.考虑到光参量过程所具有的波长可调谐特性,在实际应用中,可根据需要,选择与生物组织的光学治疗窗口相匹配的成像波长,从而保证更长的穿透深度,提升生物组织成像和医学无损检测的效果.     

空间目标红外双波段比色测温法精度分析

针对空间目标与地基望远镜红外成像传感器终端之间的不确知参量将降低双波段比色测温法求解精度,且精度影响程度未知,假设目标为灰体,对包含不确知参量的最大似然估计函数关于发射率求偏导,建立基于红外探测器测量电子数的双波段比色测温数学模型,并进行双波段比色测温法的蒙特卡洛仿真实验与精度分析。对于大气透过率的估算,提出应用红外自然星体的大气透过率现场标校方法。空间目标温度反演精度与成像探测器的信噪比、大气透过率、地球热辐射以及波段之间的发射率差异等未知参量的估算精度有关。结果表明:信噪比高于20,波段之间发射率差异小于0.03,地球热辐射预测精度优于50%,大气透过率预测精度优于10%时,比色测温法优于40 K的温度估计精度。     

多波长激光探测微小摄像头机理研究北大核心CSCD

基于激光不同波段的探测传输特点,通过分析典型微小摄像头的回波传输特性,提出了一种针对多波长激光特征检测微小摄像头的研究方案。利用几何光学和波动光学理论,分析微小摄像头结构及其反射光谱特征,计算并仿真了一定探测距离下的回波光场,在此基础上搭建多波长激光检测系统。实验结果表明,在一定的景深范围内,具有红外截止滤光片的微小摄像头对可见光的回波光斑衍射环特征明显、条纹对比度高且可探测距离远;近红外波段的目标回波功率低、后向散射干扰严重,可探测距离近;短波红外波段几乎不受红外截止滤光片影响,且1550 nm处于人眼安全波段。实验结果与数值分析、理论仿真结果一致,验证了短波红外激光用于探测微小摄像头的可行性。     

多谱段短波红外小鼠静脉荧光观测成像研究

短波红外(short-wave infrared,SWIR)一般指900～1700 nm的光波段,是肉眼不可见的光波段,这种波段目前主流的探测器以InGaAs为主,主要用于军事、生物以及材料光谱分析等领域.短波红外荧光成像以其对生物组织光学损伤小、成像深度大、成像信噪比高、空间和时间成像分辨率高等特点,使得基于InGa...     

Research on front-end electronics gain compensation of MCP imaging detector北大核心CSCD

基于微通道板电子倍增电荷分割型阳极的成像探测器常用于行星大气、气辉等微弱信号探测。针对探测器读出电路增益不相等导致探测器成像产生畸变的问题,利用理论分析结合MATLAB仿真揭示了不同畸变图像的形成机制,在该基础上提出了一种探测器读出电路增益补偿方法减小探测器成像畸变。通过MATLAB仿真和实验测试结果表明该文提出的方法能够有效减小由于读出电路增益不相等导致的探测器成像畸变。     

近高超声速高温蓝宝石窗口下中波红外成像退化分析仿真与性能测试实验

本文基于高温红外窗口热辐射红外成像探测器干扰机理,开展高温红外窗口成像分析、仿真与实验验证研究工作. 根据流体仿真计算获得的高温窗口温度及实验测得的窗口发射率、吸收率等参数,开展窗口热辐射计算;建立了光学窗口介质内部辐射传输路径和强度计算模型,并给出了窗口辐射出射模型以及相应红外成像模型;基于光学追迹方法,把窗口热辐射成像的计算问题转换成了光学计算问题;设计了一种基于高温蓝宝石红外窗口的加热实验,对红外成像仿真结果进行了检验. 通过仿真结果与窗口加热实验结果对照,将基于模型分析获取图像与实验结果图像作差,得到的平均每个像素误差值为0.45;实验发现在窗口约773 K条件下,设计的中波红外成像系统的信噪比、对比度分别降低到原来三分之一左右,而整个红外成像系统NETD值由原来的约52 mK上升到了954 mK. 本文提出的窗口热辐射分析方法可以有效估计窗口热辐射对中波红外成像的影响,设计的实验对成像系统的指标验证有较好的用途,同时对红外成像系统波段细化优选和成像参数调整,降低图像退化程度,都有着重要的指导意义. 关键词： 近高超声速 高温蓝宝石窗口 气动效应 仿真与实验     

基于光参量过程直接产生高重频超短脉冲序列

论证了单晶体光参量放大（OPA）过程在特定边界条件下满足频域宇称-时间（PT）反对称性。归一化的数值求解结果显示,OPA系统PT对称阈值点附近呈现增益跃变性质。对于存在位相失配的OPA,通过实时调控泵浦光强,即可控制系统PT对称性,论文基于相位失配OPA中可超快调控PT对称性的特性构建了超快光开关,一方面光开关与周期性幅度调制的泵浦光联合使用,可直接将连续激光转换为超短脉冲序列输出;另一方面,构建的光开关也可用于脉冲激光再压缩,有望用于中红外波等长波段超短种子源。论文提出的基于超快光开关直接产生超短脉冲序列的方案,由于不需要光学谐振腔,易于实现大于10 GHz的超高重复频率。     

基于高光谱成像技术的微小摄像头检测技术

针对高光谱成像特点,提出了一种基于三维特征检测微小摄像头的方案。在空间维利用猫眼效应筛选疑似目标,在光谱维对结果进行精准判定。依据摄像头结构,分析了可见光摄像头的反射光谱特征。基于几何光学和辐射度学,计算和仿真了系统的探测距离。结果表明,正常工作时,光功率影响最小探测距离,目标尺寸影响最大探测距离。搭建了微小摄像头光谱特征验证系统。结果表明,采用吸收型红外截止滤光片的目标的非反射光占比曲线变化平缓且数值高,采用反射型红外截止滤光片的目标的非反射光占比曲线可见光部分数值高,红外部分数值低,从700 nm附近开始下降,甚至发生突变,实验数据显示,突变位置的斜率绝对值是红外波段斜率绝对值的10倍以上。实验结果与预期分析的结果一致,验证了高光谱成像技术检测微小摄像头的可行性。     

空中目标多波段红外辐射特性描述与仿真分析

针对空中目标在复杂背景下的探测需求,根据实际目标的运动特性,分析目标在飞行高度、飞行姿态角改变时的辐射特点,基于MODTRAN计算得到大气辐射和衰减数据,建立目标的三维模型、热辐射和反射模型,搭建空中目标的红外成像仿真系统.分析和仿真结果表明:在中波波段,目标尾焰的红外辐射比蒙皮强很多,在长波波段,蒙皮的红外辐射比较强,仿真图像的细节比较多,尾焰的红外辐射虽然有所减弱,红外成像效果依旧很好;相同探测条件下,由于位置越高大气越稀薄,探测器的可探测距离会变得比较远.目标红外辐射特性的分析和红外仿真系统的搭建对缩短红外探测器的研制周期和进一步确定探测器波段和系统分辨率等指标提供了参考依据.     

舰船小目标图像配准算法

当舰船目标距离红外/可见光复合导引头较远的时候,红外与可见光图像中的目标信息微弱,可供提取的特征较少且差异较大,传统的图像配准算法很难适用.针对该问题,本文提出一种基于传感器参量的图像配准算法,首先根据红外与可见光传感器的成像模型将图像配准分解简化为视场配准与平移配准两个相对分离的步骤;然后利用传感器参量进行图像的视场配准;最后基于海天线和水平高通能量分布确定匹配点完成平移配准.仿真实验结果表明,该算法具有较高的配准准确度,可以应用于实际远距离海上舰船的红外和可见光图像配准.     

Detection of infrared small target based on fusion of multi-filters北大核心CSCD

Aiming at solving accuracy problem of infrared small target detection in sky and ocean background scenarios of infrared image sequences, a novel infrared small target detection based on multi-filters algorithm fusion method is presented in this paper. Firstly infrared small target and imaging, time and space characteristics of the corresponding background noise are analyzed. Tophat algorithm with improved Robinson guard filter are then integrated to highlight target and suppress clutter background by using infrared small target imaging features. Adaptive threshold segmentation is used to extract candidate targets, while Unger smoothing filter and multi-objects association filter are used to eliminate random noise and false targets in the candidate targets. Multiple experiments of infrared small target image sequences are implemented, and experimental results show that proposed method can detect infrared small targets at 99% detection rate with high reliability and good real-time performance. © 2017, Editorial Board, Journal of Applied Optics. All right reserved.     

Biochip fluorescence detection system with spatial and spectral separation

A novel optical arrangement for fluorescence detection that employs spatial separation as well as spectral filter to increase the signal to noise ratio is proposed. Using a prism and two mirrors, the elliptical laser beam of a laser diode, as an excitation light, is homogenized and the transmitted excitation light is separated from the fluorescence not to reach the collecting optics. Uncooled CCD can capture the fluorescence image of up to 40 fluorescently-labeled protein patterns without scanning or mechanical translation. This paper presents the simulation, construction and measurement results of the developed optical system. The measurements show that the combination of prism and mirrors converts the excitation light from the laser diode to uniform illumination on the specimen, and provides the separation between excitation and fluorescence light to give high signal to noise ratio. It is also possible to assay various protein concentrations ranging from 1000 to 10 ng/ml reliably. We believe that the proposed fluorescence detection system can be used to build a commercially valuable, low cost, hand-held or miniature fast detection device for point-of-care applications.     

Evaluating and predicting human detection performance of targets embedded in distorted and restored infrared images

The effects of atmospheric blur, gaussian noise distortion and Wiener filter restoration on human target detection performance is addressed in this paper. A specially designed psychophysical experiment shows significant degradation in detection performance caused by the contrast and noise limiting effects of the atmospheric blur and noise distortion. The experiment also shows that although Wiener filter restoration improves the distorted image sharpness and contrast, it amplifies the noise and does not compensate for the performance degradation caused by distortion. The paper presents a spectral analysis approach to the original, distorted and restored images, as well as an analysis of the target signal to noise ratio. Each analysis defines an alternative method for evaluating a spatial cutoff frequency that determines the restoration efficiency, which practically limits the detection performance. This frequency is then used to predict the probability of detection according to a target acquisition model and the Johnson chart. Moreover, the methods are used to determine whether noise or contrast will limit target perception. The methods were applied to the experimental infrared image database and showed good agreement with the related experimental probabilities of detection.     

时空域双边滤波背景抑制算法研究

红外图像中的强边缘一直是制约红外弱小目标检测概率的重要因素,同时是产生目标虚警的重要来源。采用能够同时利用邻域空间欧式距离和灰度值相似性的双边滤波,并针对天基红外系统中帧间背景缓慢变化的特点,设计一种基于时空域的双边滤波法,实验验证该方法对复杂背景的强边缘具有很好地抑制效果,信杂比增益大于3.6,同时能够很好地保留目标能量,目标能量损失因子D factor小于0.2,有效地提高目标的局域信杂比。     

发散光束抽运的宽带光参量啁啾脉冲放大系统的理论研究

对发散光束抽运的光参量啁啾脉冲放大器的增益带宽进行了系统的理论研究.采用空间傅里叶变换和四阶Runge-Kutta算法，分别模拟了非衍射极限情况下的高斯光束和空间频谱为矩形的发散光束作为抽运光时的增益曲线.结果表明：不管是在可见光或是在近红外光谱区，用发散光束均可以明显地改善光参量啁啾脉冲放大系统的增益带宽.选取合适的发散角和抽运光强，可以获得高增益、宽谱带的信号光输出. 关键词： 光参量啁啾脉冲放大 增益带宽 发散角 高斯光束     

Principal curvature for infrared small target detection

Small target detection in infrared image with complex background and low signal–noise ratio is an important and difficult task in the infrared target tracking system. In this paper, a principal curvature-based method is proposed. The principal curvatures of target pixels are negative and their absolute values are larger than that of background pixels and noise pixels in a Gaussian-blurred infrared image. The proposed filter takes a composite function of the curvatures for detection. An approximate model is also built for optimizing the parameters. Experimental results show that the proposed algorithm is effective and adaptable for infrared small target detection in complex background. Compared with several popular methods, the proposed algorithm demonstrates significant improvement on detection performance in terms of the parameters of signal clutter ratio gain, background suppression factor and ROC.     

Spatial and temporal bilateral filter for infrared small target enhancement

This paper presents a spatial and temporal bilateral filter (BF) to detect target trajectories, by extracting spatial target information using a spatial BF and temporal target information using a temporal BF. Background prediction when it is covered by targets is the key to small target detection. In order to apply the BF to a small target detection field for this purpose, this paper presents a novel spatial and temporal BF with an adaptive standard deviation to predict spatial background and temporal background profiles, based on analysis of the blocks surrounding a spatial and temporal filter window. In order to discriminate between the edge or object regions with a flat background and the target region spatially and temporally, spatial and temporal variances of the blocks surrounding the filter window are calculated in a spatial infrared (IR) image and temporal profile. The spatial and temporal variances adjust standard deviations of the spatial and temporal BF. Through this procedure, spatial background and temporal background profiles are predicted, and then small targets can be detected by subtracting the predicted spatial background (and temporal background profile) from the original IR image (and original temporal profile) and multiplying spatial and temporal target information. To compare existing target detection methods and the proposed method, signal-to-clutter ratio gain (SCRG) and background suppression factor (BSF) are employed for spatial performance comparison and receiver operating characteristics (ROC) is used for detection-performance comparison of the target trajectory. Experimental results show that the proposed method has a superior target detection rate and a lower false-alarm rate.     

层次卷积滤波红外弱小目标检测方法

针对单帧复杂背景红外图像点目标检测算法存在复杂背景下处理效果不理想、处理时间长的问题,提出了一种层次卷积滤波检测算法。主要分为两个部分：第一,根据红外小目标特性,设计一种层次卷积滤波的算子,对图像进行滤波处理,实现图像中小目标的增效和背景抑制的效果;第二,采用基于最大值的自适应阈值方法,对图像进行二值化操作,过滤背景杂波,最终提取到待检测的目标。在大量不同背景红外图像中进行实验,论文算法在背景抑制因子和信噪比增益的性能量化结果上优于现有5种典型红外弱小目标检测算法的性能结果,且平均处理时间仅为高斯拉普拉斯（Laplacian of Gaussian,LoG）滤波算法的30.42%。通过实验对比,表明该层次卷积滤波算法可以有效解决在不同复杂背景下的红外图像中对小目标检测的问题。     

多量级多向梯度海空复杂背景红外弱点目标检测

由于红外图像一般带有较大的噪声，采用传统的目标检测方法效果不理想。本文提出了一种新的海空背景下受强杂波和噪声污染的红外图像弱点目标检测算法。用多个量级梯度对图像目标进行检测，并对检测的结果进行了表决融合。结果表明，基于表决融合的多量级多向梯度检测消除了云层、海浪和海天线等背景干扰，在实现高检测概率的同时，不仅可以达到较低的虚警概率，而且可检测信杂比为1的点目标。