量子态的非相干光时域测量

提出了利用非相干光实现对量子态的时域高分辨率测量的新方法.以测量Autler-Townes效应为例,通过对信号解析表达式的详细讨论,阐述了利用这种方法测量量子态的物理过程,揭示出被测量的演化规律及测量过程对量子态的影响.研究结果表明利用这种方法既可以有效地、高分辨地测量很小的量子态能级间距和很大的原子能级间距,同时又可以测量相干量子态的横向弛豫速率.通过对时域和频域测量方法的比较表明利用非相干光对量子态的时域测量可以全面揭示量子态演化信息. 关键词： 非相干光 量子态测量 Autler-Townes 效应     

时空非相干光孤子的传播和相干特性

研究了时空非相干椭圆形高斯光束在饱和对数型非线性介质中的自陷行为,得到了孤子的形成条件并分析了其相干特性,讨论了光束自陷的变化形式,发现光束的初态和材料非线性对其有决定性的影响, 并进一步获得了光束半径和光束相干半径的解析表达式,发现光束的相干特性不但会随传播距离产生周期性的变化,且随组份频率的增大而减弱.     

用非相干光处理技术对位相物体进行多色编码

介绍用非相干光处理技术对位相物体进行多色编码具有结构简单、分辨本领高、对比度好的优点。     

非相干光反馈与非相干光注入混沌同步通信系统仿真分析

本文对非相干光反馈与非相干光注入激光混沌同步保密通信系统进行了理论仿真研究.本系统为Pecora-Carroll混沌同步系统,基于Lang-Kobayashi速率方程,建立了发送激光器和接收激光器的理论模型.利用该模型分析了同步建立时间、同步误差,混沌键控编码/解码以及调制速率等特性.仿真结果表明系统具有很好的同步性能和保密性,混沌同步时间约为1 ns,混沌键控编码速率可达1 Gbit/s.研究结果对非相干光反馈与非相干光注入激光混沌同步保密通信系统的设计具有重要参考价值.     

基于非相干光反馈与注入的级联混沌系统研究

提出了基于延迟非相干光反馈与非相干光注入的级联混沌同步方案,与相干方案相比,该方案不需要频率完全匹配.数值研究结果表明,在其他参量匹配的情况下,发送机与接收机能实现完全同步.通过混沌键控方法,实现了信息的编码与解码.由于该级联方案具有非相干,宽带宽和多信息点传输的特点,所以在物理实现上很有吸引力,在全光中继通信方面也存在着很大的潜力.     

基于附加密钥复用的彩色图像加密技术

为了避免使用复数来密文记录和传输彩色图像,提出一种基于附加密钥复用的彩色图像加密方法。先把彩色图像分成三基色分量:红、绿、兰;选取3个独立的附加密钥分别对这3个分量使用改进的光学联合相关变换法加密,得到3个联合功率谱。把这3个联合功率谱进行叠加,得到的复合联合功率谱即加密结果,其包含了原始彩色图像的全部信息。解密时,使用加密时所用的3个附加密钥分别对此复合联合功率谱进行解密,即可正确地重建原始图像的红、绿、蓝分量,进而恢复出原始图像。计算机仿真结果表明,本方法可以将一幅原始彩色图像隐藏于单幅强度图像之中。由于记录强度图像无需参考光波,因此本方法在加密过程中成功地避免了干涉装置,降低了对加密环境的要求。此外,相比于其他彩色图像隐藏方法需要加密至复数密文之中,本方法的密文大小仅为其二分之一,加密效率提高了一倍。     

低相干光断层扫描系统的噪声分析与研究

低相干光断层扫描,是近十几年来发展起来集多种前沿科学和技术为一体的超高精度成像技术。介绍了该技术的理论原理及本实验室建立的基于时域线性调制和光纤迈克耳孙干涉仪的低相干光断层扫描系统并给出了初步的实验结果。重点对光源谱型和参考臂扫描速度不均匀性对系统输出信噪比的影响进行了理论模拟计算和实验研究。通过运用傅里叶频谱的分析方法,从工程设计的角度出发给出了基于实验结果的参量特性分析以及这些特性将会给实际光学相干层析系统测量结果带来的影响,从而获得了低相干光断层扫描系统改进的方法。     

Optimal Incoherent Filtering for Distortion-Invariant Image Recognition

An optimal incoherent filter is proposed for distortion-invariant correlation. The optical transfer function (OTF) of the correlator is specified as a realizable phase-only term which is optimized by the simulated annealing algorithm. The phase-only OTF is used in image recognition to produce a sharp peak response and can be generated by dual-filter synthesis. Image recognition is achieved by subtracting two spatially incoherent correlation outputs produced from a positive and negative filters with an input image. Computer simulations show that the proposed correlator can yield a sharp correlation peak with excellent distortion tolerance.Presented at 1996 International Topical Meeting on Optical Computing (OC ‘96), April 21–25, Sendai, Japan     

Distortion Invariant Binary Image Recognition Based on Central Projection Correlation

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改进形态学相关算法以识别高相似度灰度图像

从形态学角度定义了灰度联合图像相似度，提出两种基于位表示法形态学相关算法的改进算法，通过提取位表示法的图像片边缘特征或二元化位表示法的图像片功率谱，以提高位表示法形态学相关算法对高相似度灰度图像的识别能力。     

单通道光学相关实现击中与否运算

给出了一种单通道光学相关实现击中与否运算的算法和光学装置，此法基于形态学中的腐蚀运算和光学相关的关系及阈值操作，在非相干光学相关器中，将前景结构核元素编码为１，背景结构核元素编码为ａ（ａ满足一定条件），只需用原图像与前景和背景结构进行相关，然后对相关结果取阈值的Ｋ（前景结构核元素的像素数）即可得到击中与否运算，击中与否运算可以光学并行一步实现。     

一种提高光学相关模式识别准确性的后处理方法

将基于绝对差算法的最小距离离度量方法用于光学相关器产生的相关结果灰度图像的相假性度量,并以此为依据给出待识别图像与参考图像之间的相似性结论,避免了传统的以相关联峰取阈为判决依据引起误判现象,提高了判决准确率,甚至可以对由灰度图像直接做光学相关得到的低质量相关结果给出准确判断,从而避免了对灰度图像做二值化及编码处理等烦琐的预处理工作,采用非相干相关器为光学实现硬件并给出了实验结果。     

A Highly Accurate Face Recognition System Using Filtering Correlation

The authors previously constructed a highly accurate fast face recognition optical correlator (FARCO) [E. Watanabe and K. Kodate: Opt. Rev. 12 (2005) 460], and subsequently developed an improved, super high-speed FARCO (S-FARCO), which is able to process several hundred thousand frames per second. The principal advantage of our new system is its wide applicability to any correlation scheme. Three different configurations were proposed, each depending on correlation speed. This paper describes and evaluates a software correlation filter. The face recognition function proved highly accurate, seeing that a low-resolution facial image size (64 × 64 pixels) has been successfully implemented. An operation speed of less than 10 ms was achieved using a personal computer with a central processing unit (CPU) of 3 GHz and 2 GB memory. When we applied the software correlation filter to a high-security cellular phone face recognition system, experiments on 30 female students over a period of three months yielded low error rates: 0% false acceptance rate and 2% false rejection rate. Therefore, the filtering correlation works effectively when applied to low resolution images such as web-based images or faces captured by a monitoring camera.     

Invariant Optical Recognition of Color Range Patterns Using Image Encoding

Correlation methods for recognition of polychromatic range images are presented. First, polychromatic range images are described. The correlation can be performed using either a single channel compressing both the range and the color images or a multichannel approach. The advantages of both methods are discussed. Translation invariant recognition along the x, y, and z axis is obtained. In the single channel approach, the range and the hue are combined using phase and amplitude coding. Then the double-channel approach is considered using sine-coding for the input image and phase-coding for the reference image. Finally, both channels are combined in order to improve the discrimination capability of the system. Optical implementation is performed.     

粗糙波面光学传递函数像质评价准则和粗糙度公式理论

建立了包含波面像差和粗糙度影响的粗糙波面光学传递函数及其像质评价准则，讨论了粗糙度公差的理论和标准。     

Optical Color Pattern Recognition with High Discrimination Capability Using Binary Amplitude Phase-Only Filters

The possibility of improving the discrimination capability (DC) in color pattern recognition is analyzed. In each channel, red, green and blue (R, G, B), a region of support is designed to improve the behavior of the Phase Only Filter matched to the corresponding component of the target. The procedure of optimization is based on the analytical expressions which give the DC in R, G, B channels, for real valued input scenes. Computer simulation results are presented and discussed.     

基于颜色迁移和聚类分割的偏振图像融合方法

为克服当前偏振图像融合方法存在的不足,提出了一种基于颜色迁移和聚类分割的偏振图像近自然彩色融合方法.该方法首先将偏振参量图像映射到HSI颜色空间,再得到初步的融合图像后将它变换到YIQ颜色空间,并采用颜色迁移技术对其进行颜色修正.通过将修正后的图像变换到HSI颜色空间,并利用对线偏振度图像进行模糊C-均值聚类分割的结果...