小波变换的红外焦平面阵列非均匀性校正算法

红外焦平面阵列(IRFPA)的非均匀性是其应用中必须解决的技术难题之一。基于小波理论,提出了一种基于成像场景的红外焦平面非均匀性校正算法。该算法选择合适的小波函数对红外成像序列进行小波分解,而后对分解的信号计算出相应的统计量,从而得出红外焦平面非均匀性校正的偏置和增益校正系数,以此最终实现非均匀性校正。对真实红外序列图像的处理效果验证了该算法可较好地实现非均匀性校正。此外该算法对慢变化量具有较好的自适应性,可较好地抑制一般基于场景统计的非均匀性校正算法中出现的"人工虚影"的现象。     

Nonuniformity correction algorithm based on adaptive filter for infrared focal plane arrays

Response nonuniformity is a key problem that influences the imaging performance of infrared focal plane arrays (IRFPA) imaging system. A parallel processing algorithm to adaptively estimate the nonuniformity correction (NUC) parameters for IRFPA is presented. In this algorithm, a bank of the adaptive filter is applied to adaptively estimate the NUC parameters for every detector in IRFPA. The infrared image sequences are input into the bank of adaptive filter. After certain times recursion calculations are executed frame-by-frame, then the optimal coefficients of the gain and the offset of detector in IRFPA are achieved. Then the NUC is fulfilled ultimately. The algorithm reduces the influence that the response drift with time imposed on NUC effectively, and achieves good NUC effect. It was validated by real experimental imaging procedures.     

New techniques of characterisation

During the last decade, amazing advances in microelectronics have led to the development of large infrared focal plane arrays (IRFPAs) with a high density of pixels per square centimetre. Bispectral and soon multispectral detectors are now under development. In order to follow or even anticipate this race for spatial and spectral resolution, new techniques of characterisation have been developed in our laboratory, allowing the measurement of the spatial and spectral responses of a hundred of thousands pixels forming the IRFPA. Thus, a test bench for the measurement of hyperspectral cartographies has been realised. The principle of measurement and experimental results will be presented. For the measurement of spatial responses, the projection of targets that illuminate the entire surface of the IRFPA and contain sub-pixel details is required in order to extract the line (or spot) spread function of every pixel. For this, non-imaging techniques of projection based on the self-imaging property of periodic targets have been elaborated. The first results and the potential of this original approach will be discussed. To cite this article: N. Guérineau et al., C. R. Physique 4 (2003).     

IRFPA图像采集系统的设计与实现

介绍了基于USB2.0的高速红外图像采集系统的总体设计思想.用CPLD实现IRFPA探测器和FIFO的时序控制驱动电路、奇偶数据整合,采用FIFO作为数据缓存,达到了系统结构简化和性能优化的目的.研制出一套完整的红外焦平面高速图像采集系统.结果表明:该系统能够满足使用要求.     

Monolithic Integration of Diffractive Microlens Arrays and Infrared Focal Plane Arrays

Monolithic integration method has been demonstrated to increase the fill factor of the infrared focal plane arrays (IRFPA). Which is consists of 256×256 Pt-Si schottky barrier charge coupled devices(CCD) operation in 3-5m IR region. The relative silicon 256×256 element diffractive microlens arrays have been fabricated on the back side of the substrate of the IRFPA using binary optics technology. The aligning process between IRFPA and microlens arrays on each side of the substrate has been completed by IR mask aligner. The testing results show that the imaging quality is very good and the average optical response of the IR FPA is increased by a factor of 3.0, which is improved by about 25% compared with the hybrid integration method in the previous work.     

Nonuniformity correction algorithm with nonlinear model for infrared focal plane arrays

For the detector in infrared focal plane arrays (IRFPA) with a large dynamic range of response, a nonlinear model of response curve of the detector in IRFPA is introduced in this paper. With the model, the Kalman-filter nonuniformity correction (NUC) algorithm with linear model, developed by Torres and Hayat, is extended. In the extended algorithm, the raw image is translated into a linearized one firstly by directly employing a logarithm-based transformation. Then the linearized image is corrected by the Kalman-filter NUC algorithm with linear model, and the corrected linearized image is obtained. Finally the uniformity image of the original one is achieved by fulfilling an exponent transformation to the corrected linearized image. The presented algorithm not only inherits the advantage of the original algorithm that resolves the problem of the temporal drift in the gain and the bias in each detector by updating NUC parameters with information of the current scene, but also reduce the influence of the detector nonlinear response to the NUC performance, so it is suitable for IRFPA under large response-range. The NUC ability of the presented algorithm is demonstrated by experiments with real infrared image sequences.     

一种具有自适应非均匀校正功能的非制冷焦平面探测器组件

基于场景的非均匀校正算法(scene based nonuniformity correction,SBNUC)是非均匀校正技术今后的重点发展方向,介绍了近年来基于恒定统计约束的SBNUC、神经网络的SBNUC和运动估计的SBNUC算法的研究进展。研究了SBNUC算法在实际焦平面探测器组件上的实现方法,该方法仅依赖拍摄序列的信息对焦平面探测器的增益和偏置参数进行组间更新或帧间更新,可有效补偿温漂。研制了一种具有自适应非均匀校正功能的非制冷焦平面探测器组件,红外视频经该组件处理后,图像质量有所提高。该组件可明显提高热成像系统的成像性能,并能动态地保证热成像系统随场景变化的稳定性。     

Improvement in adaptive nonuniformity correction method with nonlinear model for infrared focal plane arrays

The scene adaptive nonuniformity correction (NUC) technique is commonly used to decrease the fixed pattern noise (FPN) in infrared focal plane arrays (IRFPA). However, the correction precision of existing scene adaptive NUC methods is reduced by the nonlinear response of IRFPA detectors seriously. In this paper, an improved scene adaptive NUC method that employs “S”-curve model to approximate the detector response is presented. The performance of the proposed method is tested with real infrared video sequence, and the experimental results validate that our method can promote the correction precision considerably.     

基于变积分时间的红外焦平面非均匀性校正算法研究

针对两点温度定标算法在应用过程中曝露的问题,提出了基于变积分时间的红外焦平面非均匀性校正算法.该算法先对图像进行非线性压缩,转换为线性图像,再利用红外焦平面阵列探测元的响应特性与积分时间之间的关系,采用改变积分时间的方法拟合红外焦平面探测器的平均响应特性曲线,进行两点校正,然后对结果进行取指数操作,即得到原图非均匀校正后的图像.分别利用两点温度定标法和变积分法对航拍红外图像进行校正效果验证,同时进行了不同校正算法的非均匀性适应性评价实验.实验结果表明新算法计算量小,校正准确度高,反应速度快,并在一定程度上解决了大动态范围下响应非线性对校正性能的影响,具有很好的工程应用价值.     

短波红外用于白天卫星探测的研究

从白天天空背景、卫星光学特性及红外波段在大气中的传输特性三方面分析了白天卫星探测的可行性。在此基础上,采用光谱滤波的方法,利用红外焦平面阵列(IRFPA),在短波红外波段进行了卫星跟踪与测量。理论分析和白天的测星实验表明,用短波红外波段能够实现白天卫星的跟踪与测量;通过与已知星等的G型光谱类型恒星测量值的比对得到了目标卫星的星等为6.34,给出了探测系统的跟踪误差。     

Theoretical analysis and experimental application of CDS CMOS integrated circuit for uncooled infrared focal plane arrays

In this paper, a typical correlated double sampling (CDS) complementary metal oxide semiconductor (CMOS) circuit for uncooled infrared focal plane array (IRFPA) is theoretically analyzed, the key factor of CDS CMOS integrated circuit is pointed out, and a new CDS integrated circuit which is high correlative for low-frequency noise is applied in an experimental readout chip for uncooled IRFPA. Theoretical analysis indicates that the sample transfer function of a noise source acted on by CDS processing is related to noise frequency and sampling time interval and the key factor of CDS circuit for reducing or eliminating noise in readout integrated circuit is the sampling time interval. The experimental readout chip with high noise-correlative CDS integrated circuit is fabricated to verify the theoretical analysis, which can be applied to uncooled IRFPAs.     

基于低次插值的红外焦平面器件非均匀性多点校正算法

提出了分段线性插值和三次样条插值两种基于低次插值的红外焦平面阵列非均匀性多点校正算法,该算法能有效地克服工程上常用的一点和二点校正算法的不足,具有校正精度高、动态范围大、在线计算量小、易于实时实现等优点,并且能有效克服IRFPA各探测单元响应特性的非线性对校正精度的影响.     

激光辐照碲镉汞红外焦平面探测器的热应力损伤研究

基于碲镉汞红外焦平面探测器的结构与其材料热力学相关特征,描述了激光辐照碲镉汞红外焦平面探测器造成的损伤机理。根据相关的辐照环境和条件,通过有限元分析法建立了三维仿真模型。基于COMSOL Multiphysics软件仿真了碲镉汞红外探测器受到波长10.6 μm的激光辐照时,探测器各部分的温度变化及应力变化情况;通过数值分析方法,比较了碲镉汞探测器在经过光斑面积相同。功率不同的激光辐照后,其表面径向及内部轴向的温度场变化及应力场变化情况。仿真结果表明:在经过106 W/cm2的连续激光辐照后碲镉汞探测器表面温度与应力快速升高,造成探测器表面损伤,同时探测器被辐照部位的温度变化也导致其内部局部应力值变化。将碲镉汞探测器的应力损伤阈值及变化趋势与文献中相关实验数据进行对比,发现二者结果基本一致,验证了模型的可行性。     

Engineering issue study of triple harmonic method for in situ flying height analysis

In situ flying height testing technology is becoming more and more important in slider–disk interaction analysis and manufacturing quality control of disk drives and head-related components. Triple harmonic method is a quite promising choice for in situ flying height analysis, compared with other in situ methods reported up to now. This paper reports results of investigations on engineering issues of applying triple harmonic method for in situ flying height analysis. The paper reports results of analysis on the effects of various testing conditions on flying height testing repeatability and accuracy. Results suggest that working at reasonable high channel density and working on the ratio between third and first harmonics will be an advantage in terms of both flying height testing sensitivity and testing repeatability. Comparing with media thickness effect, the gap-length variation among different heads will be important if it is to study flying height difference among different heads and the testing is at high channel density. Also, it is suggested to work at AC erased track, in order to reduce the non-linearity caused by hard transition.     

Non-uniformity correction algorithm for IRFPA based on motion controllable micro-scanning and perimeter diaphragm strips

Non-uniformity correction is the key issue for the image quality improvement of infrared focal panel array (IRFPA) imaging. A non-uniformity correction (NUC) algorithm for IRFPA based on motion controllable micro-scanning platform and perimeter diaphragm strips is presented. We initially execute one-point calibration to the perimeter detectors, then based on controllable motion of adjacent frames, a special algebraic algorithm is proposed to transport the calibration of the perimeter detectors to those interior un-corrected ones. In this way, the bias parameter of the whole field of view (FOV) is calculated. The algorithm can be easily combined with sub-pixel imaging, thereby improving the quality of thermal imaging system (image spatial resolution and uniformity). All calculations are algebraic, with a low computation load. The algorithm can realize adaptive one point calibration without covering the central FOV rapidly. Experiments on simulated infrared data demonstrate that this algorithm requires only dozens of frames to obtain high quality corrections.     

基于特征分解的红外焦平面非均匀性校正算法

针对目前红外焦平面自适应场景校正算法工程应用的局限,提出了一种基于红外焦平面非均匀性特征分解的场景校正算法。分析了红外焦平面非性匀性构成因素,把其中的高频部分分解成盲点、斑块、行列非均匀性等,把缓慢变化的低频部分分解成梯度渐变非均匀性;分别对各类非均匀性采用不同的校正算法;合并校正结果,得到校正后的图像。实验结果表明,该算法校正精度高、收敛速度快、抑止目标退化能力强,适合工程应用。     

红外焦平面器件盲元检测及补偿算法

在分析盲元响应特性的基础上,利用红外焦平面阵列对双参考辐射源的响应数据和相邻像元成像数据的相关性,提出了一种基于双参考辐射源的盲元现场自动检测和插值补偿算法,实现了盲元的自动检测和校正.实验结果表明:该方法具有对盲元查找速度快、定位准确率高、补偿效果好及易于软硬件实现等特点.     

An enhanced non-uniformity correction algorithm for IRFPA based on neural network

Influenced by detector materials’ non-uniformity, growth and etching techniques, etc., every detector’s responsivity of infrared focal plane arrays (IRFPA) is different, which results in non-uniformity of IRFPA. And non-uniformity of IRFPA generates fixed pattern noises (FPN) that are superposed on infrared image. And it may degrade the infrared image quality, which greatly limits the application of IRFPA. Non-uniformity correction (NUC) is an important technique for IRFPA. The traditional non-uniformity correction algorithm based on neural network and its modified algorithms are analyzed in this paper. And a new improved non-uniformity correction algorithm based on neural network is proposed in this paper. In this algorithm, the desired image is estimated by using three successive images in an infrared sequence. And blurring effect caused by motion is avoided by applying implicit motion detection and edge detection. So the estimation image is closer to real image than the estimation image estimated by other algorithms, which results in fast convergence speed of correction parameters. A comparison is made to these algorithms in this paper. And experimental results show that the algorithm proposed in this paper can correct the non-uniformity of IRFPA effectively and it prevails over other algorithms based on neural network.     

基于BP神经网络的红外焦平面非均匀性校正技术

在传统BP神经网络非均匀性校正理论的基础上,结合红外焦平面阵列读出通道的时变特性,提出一种新的输出期望估计方法.该方法利用当前像素邻域和读出通道估计输出期望值.实验表明,算法能有效抑制焦平面固定图案噪音,提高场景目标的分辨能力,达到较好的视觉效果.