一种简洁的离散快速无振荡跟踪-微分器的设计

针对几种传统的跟踪-微分器存在的缺点,构造了一种简洁的离散快速无振荡跟踪-微分器.对几种跟踪-微分器的控制综合函数进行了对比分析,设计了一种可变宽度线性区,利用状态倒推的方法确定了控制综合函数,并依此构造跟踪-微分器.仿真结果表明,该跟踪-微分器能够快速无振荡地跟踪输入信号,具有较好地滤波功能,能输出品质很好的微分信号...     

基于改进离散跟踪微分器的目标状态估计算法

目前,大多数目标跟踪算法都是基于模型的,不正确的模型经常导致错误的结果。为此,提出了一种不依赖于模型的目标状态估计算法。首先,针对信号跟踪的特点,在控制不受限制的条件下,推导出了二阶离散系统最速控制综合函数;然后,基于此控制函数构造了一种简单的快速离散跟踪微分器;最后,将此离散跟踪微分器与移动平均技术结合用于目标的状态估计。数值仿真结果表明提出的方法对输入信号具有非常好的跟踪能力,能很好地滤除噪声且能给出较好的微分信号。     

相干信号源最大似然波达方向估计的分辨性能

本文着重讨论了在任意几何中心对称阵列条件下的最大似然方向估计函数的性质及其在信源真实方向上的微分特性。     

余弦物体的光学微分

1.余弦函数的微分是正弦函数,二阶微分是余弦函数这是人所共知的。体文用光学方法实现了余弦函数的一阶微分和二阶微分运算,同时由于任何函数形式的光振幅分布都可以分解为余弦光振幅分布的线性组合,因而,得出的对余弦函数光学微分的结论有助于对光学微分的问题做进一步的研究。     

频率响应函数估计评述与总体最小二乘多输入/多输出估计

本文以最小二乘估计观点对经典的频率响应函数估计进行了说明和讨论;对近年来提出的几种单输入及多输入频率响应函数估计的新方法从统一的理论进行了评述,并对部分方法进行了推广;提出了基于总体最小二乘原理的多输入多输出估计H_T和相应的计算方法,并给出了应用实例。     

光网络安全及防范技术研究

本文首先分析了全光网络与传统网络的主要区别及不同特点,提出对全光网络的安全问题必须重新认识,并列举了几种全光网络可能受到的攻击。分析了光网中不同网络层上的不同的安全防范技术,给出了几种对光网络的不同网络层攻击有效的保护方法。最后在此基础上分析了光网络安全研究的发展趋势。     

DD1滤波及其在非线性系统识别中的应用

DD1滤波是一种基于多元插值计算，将函数按多项式近似展开的非线性滤波方法，相对于扩展卡尔曼滤波而言，它不需要对函数进行微分运算，使得计算大为简化，且具有与扩展卡尔曼滤波相当甚至优于它的估计性能，适用范围较广。对DD1滤波及其在非线性系统识别中的应用进行了分析，给出了计算实例，计算结果表明了该方法的有效性和实用性。     

任意方向匀速直线运动模糊的点扩展函数估计

在运动图像复原中,建立图像退化模型的关键是找到准确的点扩展函数(PSF)。提出了一种基于单幅图像的、改进的任意方向匀速直线运动模糊PSF的估计方法。利用基于图像频谱亮线灰度特征的方向鉴别方法鉴别模糊图像的模糊方向,利用微分自相关的方法对模糊图像的模糊尺寸进行计算,通过计算模糊图像沿二维直线运动方向不同距离的重叠度,来计算得到相应的PSF。通过开展仿真分析和成像实验,演示了PSF估计和图像复原过程。通过采用图像质量评价函数,将图像复原结果与现有算法进行对比,验证了所提出方法的有效性。     

全光时延线的实现和应用

从光时延线的原理、结构和性能等方面对全光时延线的实现方法进行了详述,并认为基于波长转换和光纤色散的全光可调时延线将在全光网络中具有重要作用;之后,对光时延线在OTDM、光学测量和光交换中的应用进行了介绍,最后总结了全光时延线需要改进的几个方面。     

针对含噪信号的自适应跟踪微分器改进研究

跟踪含噪信号时,传统的自适应跟踪微分器会有扰动引入到速度因子和滤波因子参数中,导致系统跟踪紊乱从而跟踪到噪声。针对这个问题,分析了噪声引入的原因,研究了传统自适应跟踪微分器的性能,提出了将跟踪间距的滑动窗口标准差估计作为输入的自适应函数来调整滤波因子和速度因子的改进跟踪微分器(IATD)的实现方法。仿真结果表明,IATD具有精确的参数调整能力,噪声条件下拥有更快的跟踪速度,同时在宽范围信噪比条件下也具有更强的噪声抑制能力。     

Wavefront detection performance analysis of plenoptic sensor

A numerical simulation model of plenoptic sensor aberration wavefront detection is established to simulate and analyze the detection performance of plenoptic sensor aberration wavefront for different turbulence intensities. The results show that the plenoptic sensor can achieve better distortion wavefront detection, and its wavefront detection accuracy improves with turbulence intensity. The unique optical structure design of the plenoptic sensor makes it more suitable for aberration wavefront detection in strong turbulent conditions. The wavefront detection performance of the plenoptic sensor is not only related to its wavefront reconstruction algorithm but also closely related to its structural parameter settings. The influence of structural parameters on the wavefront detection accuracy of plenoptic sensors under different turbulence intensities is simulated and analyzed. The variation law of wavefront detection accuracy and structural parameters under different turbulence intensities is summarized to provide a reference for the structural design and parameter optimization of plenoptic sensors.     

混合式光场相机在聚焦与非聚焦模式下的超分辨重聚焦仿真

光场描述了光在自由空间传播的全四维信息,光场相机可用来获得光场图像。在传统的光场相机中,最终获得图像的空间分辨率受限于微透镜阵列中透镜的个数。聚焦型光场相机相较于传统光场相机能够获得更高的空间分辨率,但是以牺牲其角度分辨率作为代价。在Zemax中建立了传统光场相机与将聚焦光场相机的成像模型,仿真获得了两种光场相机的光场图像,分析了两种不同类型光场相机采样模式的区别。提出将可变焦液体透镜阵列放置在光场相机中,可以同时获得聚焦和非聚焦两种模式下的光场图像。根据记录的光场信息,讨论了相应的重聚焦方法,计算仿真了在不同景深下的重聚焦图像,并提出了一种基于图像融合和超分辨率重构的方法来提高重聚焦图像的分辨率,最终在相同的景深范围内获得了3倍于传统光场相机分辨率的重聚焦图像。     

利用光场传感器重建波前相位的仿真研究

利用软件仿真对光场传感器重建波前相位的能力进行了研究。研究采用FFT算法模拟波的传播和衍射效应,利用Zernike多项式模拟像差, 根据相应的光场映射及逆光场映射理论,进行波前重建。研究了前22项单阶像差的波前相位重建情况,选取其中初级像差和二级像差的 重建结果做了比较分析,并针对复合像差的波前重建做了多组仿真实验,比较了低阶复合像差和高阶复合像差的重建误差。结果表明: 无论是单阶像差还是复合像差,光场传感器都能够重建波前相位,并且对低阶像差的相位重建效果好于高阶像差。     

用于亚公里级三维成像的全光相机主物镜设计

The plenoptic camera can refocus after imaging, and obtain the position and direction information of the target at the same time with one exposure. Compared with the active distance measurement method and the traditional passive distance measurement method, the depth measurement method based on the plenoptic camera has the advantages of being difficult to detect and easy to calibrate. The plenoptic camera 3D imaging technology is a computational imaging technology that integrates the front-end optical system and the back-end information processing. The current research works mainly focus on the back-end information processing algorithm et al. There are few reports on the research of the front-end optical system. Therefore, the design of the front-end optical system was researched. Firstly, a calculation model was established for the depth resolution of a plenoptic camera based on multi-eye vision and the influence of optical system performance parameters was analyzed such as focal length and F-number on the object depth resolution. Secondly, the influence of factors was analyzed such as the blocking ratio of the two-mirror optical system and the magnification of the secondary mirror on the system parameters. Finally, a plenoptic camera main objective optical system for sub-kilometer-scale 3D imaging was designed comprehensively considering the design, processing, assembly, and ranging performance. The focal length of the system is 500 mm, the total length of the system is less than 163 mm, the telephoto ratio is less than 1/3, and the working temperature range is ?40 -70 ℃. The full field of view MTF in 80 lp/mm is better than 0.3 at different temperatures. If the plenoptic camera uses this objective and a sub-pixel recognition accuracy algorithm of 1/8 pixel, a depth resolution of less than 5 m can be obtained at 0.5 km.     

An RBF-based compression method for image-based relighting.

In image-based relighting, a pixel is associated with a number of sampled radiance values. This paper presents a two-level compression method. In the first level, the plenoptic property of a pixel is approximated by a spherical radial basis function (SRBF) network. That means that the spherical plenoptic function of each pixel is represented by a number of SRBF weights. In the second level, we apply a wavelet-based method to compress these SRBF weights. To reduce the visual artifact due to quantization noise, we develop a constrained method for estimating the SRBF weights. Our proposed approach is superior to JPEG, JPEG2000, and MPEG. Compared with the spherical harmonics approach, our approach has a lower complexity, while the visual quality is comparable. The real-time rendering method for our SRBF representation is also discussed.     

使用液晶微透镜的高分辨率三维重建双模相机

提出了一种基于液晶微透镜阵列的双模成像相机。该相机通过打开或者关闭加载在液晶微透镜阵列上的低频电压信号可以快捷地在传统平面成像模式和光场成像模式之间进行切换。液晶微透镜阵列通过常规紫外光刻和湿法刻蚀技术制作而成。通过将液晶微透镜阵列和感光传感器阵列以及主镜头耦合到一起,构造了一个双模成像相机的原型。通过该双模成像相机开展了相关实验,获取了同一目标物的光场图像和平面图像,并对孔径设计和两种工作模式下的景深进行了分析,给出了光场成像模式下目标物三维信息的计算方法,通过将三维光场数据和对应二维平面数据的信息进行融合获得了高分辨率三维图像。     

JPEG Pleno: Providing representation interoperability for holographic applications and devices

Guaranteeing interoperability between devices and applications is the core role of standards organizations. Since its first JPEG standard in 1992, the Joint Photographic Experts Group (JPEG) has published several image coding standards that have been successful in a plethora of imaging markets. Recently, these markets have become subject to potentially disruptive innovations owing to the rise of new imaging modalities such as light fields, point clouds, and holography. These so‐called plenoptic modalities hold the promise of facilitating a more efficient and complete representation of 3D scenes when compared to classic 2D modalities. However, due to the heterogeneity of plenoptic products that will hit the market, serious interoperability concerns have arisen. In this paper, we particularly focus on the holographic modality and outline how the JPEG committee has addressed these tremendous challenges. We discuss the main use cases and provide a preliminary list of requirements. In addition, based on the discussion of real‐valued and complex data representations, we elaborate on potential coding technologies that range from approaches utilizing classical 2D coding technologies to holographic content‐aware coding solutions. Finally, we address the problem of visual quality assessment of holographic data covering both visual quality metrics and subjective assessment methodologies.     

基于光场理论的场景仿真

成像系统仿真对光学遥感器的论证、设计和在轨性能预估具有重要意义。场景作为遥感的对象,其特性的表征和模拟对仿真结果有直接影响。场景特性难以全面表征,针对光学遥感及其应用最为关键的几何、光谱和辐射特性,提出一种基于光场理论的数字场景仿真方法。以包含空间坐标、方向、波长、强度的全光函数作为数字场景仿真的表征参数,建立了涵盖太阳直射、天空漫射和背景反射等因素的数字场景入射辐照度场模型,以及考虑方向反射特性的数字场景出射辐亮度场模型,并基于简单场景对模型进行分析和验证。该方法能够为成像系统仿真及新型载荷研制提供包含多种特性的数字场景模型。     

A novel 5-D depth–velocity filter for enhancing noisy light field videos

A 5-D depth–velocity filter is proposed for enhancing moving objects in noisy light field videos (LFVs) (also known as plenoptic videos). The proposed filter consists of an ultra-low complexity 5-D IIR depth filter and a 5-D FIR velocity filter. The 5-D IIR depth filter is employed to denoise a noisy LFV. The denoised LFV is then utilized to estimate the 3-D apparent velocity of the moving object of interest. The 5-D FIR velocity filter is designed based on the estimated 3-D apparent velocity and is used to enhance the moving object of interest while attenuating other interfering moving objects. Experimental results confirm the effectiveness of the proposed 5-D depth–velocity filter compared to previously reported 5-D depth–velocity filters.