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Changing the trajectory of Airy beam sets with spatial carriers 利用空间载波改变艾里光束集的轨迹
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-1139
A. Frolov, А.V. Ustinov, S. Khonina
In this paper, we study a change in the propagation trajectory of a set of autofocusing laser beams using a fractional Fourier transform. Clusters of displaced bounded Airy-Gaussian beams supplemented by a phase function that deflects the beam similarly to a prism are considered. The shift and phase deviation (according to the carrier spatial frequencies) make it possible to change the propagation trajectory of a set of autofocusing beams. The influence of the parameters under consideration on the properties of autofocusing of a cluster of Airy-Gaussian beams is investigated by means of numerical simulation.
本文利用分数阶傅里叶变换研究了一组自动聚焦激光束的传播轨迹变化。考虑了由类似棱镜的偏转光束的相位函数补充的位移有界的airy -高斯光束簇。漂移和相位偏差(根据载波空间频率)使得改变一组自动聚焦光束的传播轨迹成为可能。通过数值模拟研究了所考虑的参数对一束Airy-Gaussian光束的自动聚焦特性的影响。
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引用次数: 1
Formation of high-order cylindrical vector beams with sector sandwich structures 扇形夹层结构高阶圆柱矢量梁的形成
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-1096
S. Karpeev, V. Podlipnov, S. Degtyarev, A. Algubili
Complex polarization-phase transformations are considered, which are implemented using easy-to-manufacture optical elements. The manufacturing technology of such elements is based on the axially symmetric discretization of the required polarization and phase distributions. This representation leads to optical elements in the form of sector sandwich structures consisting of polarizing and phase plates stacked together. The paper numerically and experimentally investigates the main types of such sector sandwich structures for the formation of second-order cylindrical polarizations.
考虑使用易于制造的光学元件实现复杂的偏振相位变换。这种元件的制造技术是基于所需要的极化和相位分布的轴对称离散化。这种表现导致光学元件以扇形夹层结构的形式由极化板和相板堆叠在一起。本文用数值方法和实验方法研究了这种扇形夹层结构形成二阶圆柱偏振的主要类型。
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引用次数: 1
Coherent superposition of the Laguerre-Gaussian beams with different wavelengths: colored optical vortices 不同波长拉盖尔-高斯光束的相干叠加:彩色光学漩涡
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-1106
V. Kotlyar, A. Kovalev, A. Savelyeva
We calculate the topological charge (TC) of a coherent axial superposition of different-"color" Laguerre-Gaussian (LG) beams, each having a different wavelength and TC. It is found that the TC of such a superposition is equal to the TC of the longer-wavelength constituent LG beam regardless of the weight coefficient of this beam in the superposition and its corresponding TC. It is interesting that the instantaneous TC of such a superposition is conserved and the (time-averaged) intensity distribution of the "colored" optical vortex changes its light "gamut": whereas in the near field with increasing radius, colors of the light rings (rainbow) change according to their TC in the superposition from the smaller TC to the larger one, upon free-space propagation (to the far field), with increasing radius, the ring colors in the rainbow get arranged in the reverse order from the larger TC to the smaller one. It is also shown that choosing the wavelengths (blue, green, and red)in a special way in a three-color superposition of single-ringed LG beams allows obtaining a time-averaged white light ring at a certain distance.
我们计算了不同“颜色”拉盖尔-高斯(LG)光束的相干轴向叠加的拓扑电荷(TC),每个光束具有不同的波长和TC。我们发现,无论该光束在叠加态中的权重系数和相应的TC如何,这种叠加态的TC等于波长较长的组成LG光束的TC。有趣的是,这种叠加的瞬时TC是守恒的,并且“有色”光涡旋的(时间平均)强度分布改变了它的光“色域”:而在近场,随着半径的增大,光环(彩虹)的颜色在其TC的叠加中由较小的TC向较大的TC变化,在自由空间传播(到远场),随着半径的增大,彩虹中光环的颜色由较大的TC向较小的TC相反排列。在单环LG光束的三色叠加中,以一种特殊的方式选择波长(蓝、绿、红),可以在一定距离处获得时间平均白光环。
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引用次数: 3
High-performance digital image filtering architectures in the residue number system based on the Winograd method 基于Winograd方法的剩余数系统中高性能数字图像滤波架构
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-933
M. Valueva, P. Lyakhov, N. Nagornov, G. Valuev
Continuous improvement of methods for visual information registration, processing and storage leads to the need of improving technical characteristics of digital image processing systems. The paper proposes new high-performance digital filter architectures for image processing by the Winograd method with calculations performed in a residue number system with special-type moduli. To assess the performance and hardware costs of the proposed architectures, hardware simulation is carried out using a field-programmable gate array in a computer-aided design envi-ronment Xilinx Vivado 2018.3 for the target device Artix-7 xc7a200tffg1156-3. The results of hardware simulation show that the proposed filter architectures have 1.13 – 5.42 times higher performance, but require more hardware costs compared to the known methods. The results of this study can be used in the design of complex systems for image processing and analysis for their performance to be increased.
随着视觉信息配准、处理和存储方法的不断改进,数字图像处理系统的技术特性也不断提高。本文提出了一种新的高性能数字滤波器结构,用于用Winograd方法处理图像,并在具有特殊模的残数系统中进行计算。为了评估所提出架构的性能和硬件成本,在计算机辅助设计环境Xilinx Vivado 2018.3中使用现场可编程门阵列对目标器件Artix-7 xc7a200tffg1156-3进行了硬件仿真。硬件仿真结果表明,与现有方法相比,所提滤波器的性能提高了1.13 ~ 5.42倍,但需要更多的硬件成本。本研究结果可用于设计复杂的图像处理和分析系统,以提高其性能。
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引用次数: 1
Open-set face identification with automatic detection of out-of-distribution images 开集人脸识别与自动检测非分布图像
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-1061
A. Sokolova, A. Savchenko, Nikolenko
One of main issues in face identification is the lack of training data of specific type (bad quality image, varying scale or illumination, children/old people faces, etc.). As a result, the recogni-tion accuracy may be low for input images which are not similar to the majority of images in the dataset used to train the feature extractor. In this paper, we propose that this issue is dealt with by the automatic detection of such out-of-distribution data based on the addition of a preliminary stage of their automatic rejection using a special convolutional network trained using a set of rare data collected using various transformations. To increase the computational efficiency, the decision about the presence of a rare image is made on the basis of the same face descriptor that is used in the classifier. Experimental research confirmed the accuracy improvement of the proposed approach for several datasets of faces and modern neural network descriptors.
人脸识别的主要问题之一是缺乏特定类型的训练数据(图像质量差、尺度或光照变化、儿童/老人面部等)。因此,对于与用于训练特征提取器的数据集中的大多数图像不相似的输入图像,识别精度可能较低。在本文中,我们提出通过使用使用使用各种变换收集的稀有数据集训练的特殊卷积网络,在添加自动拒绝的初步阶段的基础上,通过自动检测这些分布外数据来处理这个问题。为了提高计算效率,基于分类器中使用的相同的人脸描述符来判断罕见图像的存在。实验研究证实了该方法在人脸数据集和现代神经网络描述符上的精度提高。
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引用次数: 5
Inhomogeneously polarized light fields: polarization singularity indices derived by analogy with the topological charge 非均匀偏振光场:由拓扑电荷类比导出的偏振奇异指数
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-1126
V. Kotlyar, A. Kovalev, V. Zaitsev
In this work, we study several different vector and hybrid light fields, including those with multiple polarization singularities. We derive polarization singularity indices by adopting a well-known M.V. Berry's formula, which is commonly used to obtain the topological charge of scalar vortex light fields. It is shown that fields whose polarization state depends only on the polar angle in the beam cross section can have either polarization singularity lines outgoing from the center, or a single polarization singularity in the center of the beam cross section. If the polarization state of the field depends only on the radial variable, then such fields have no polarization singularities and their index is equal to zero. If the polarization state of a vector field depends on both polar coordinates, then such a field can have several polarization singularities at different locations in the beam cross section. We also investigate a vector field with high-order radial polarization and with a real parameter. At different values of this parameter, such a field has either several polarization singularity lines outgoing from the center, or a single singular point in the center. The polarization singularity index of such a field for different parameters can be either half-integer, or integer, or zero.
在这项工作中,我们研究了几种不同的矢量光场和混合光场,包括具有多个偏振奇点的光场。我们采用著名的M.V. Berry公式推导偏振奇异指数,该公式通常用于计算标量涡旋光场的拓扑电荷。结果表明,偏振态只与光束截面的极角有关的场,既可以有中心出射的偏振奇点线,也可以在光束截面的中心有一个单一的偏振奇点。如果场的偏振态只依赖于径向变量,则这样的场不存在偏振奇点,其折射率为零。如果一个矢量场的偏振态依赖于两个极坐标,那么这个矢量场在光束截面的不同位置可以有多个偏振奇点。我们还研究了具有高阶径向偏振和实参数的矢量场。在该参数的不同取值下,这样的场要么有几条从中心发出的极化奇异线,要么在中心有一个奇异点。在不同参数下,该场的极化奇异指数可以是半整数、整数或零。
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引用次数: 1
Techniques of sampling the energy characteristics of two-dimensional random signals 二维随机信号能量特性的采样技术
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-1074
V. Syuzev, A. V. Proletarsky, D. Mikov, I. Deykin
The article is devoted to methods of discretization of energy characteristics of two-dimensional random signals when simulating random signals using the original harmonic method, which is a generalization of the well-known algorithm proposed by V. S. Pugachev for the two-dimensional case. Requirements imposed on the sampling method are aimed at reducing the computational complexity of the simulation method and increasing its flexibility thanks to removing restrictions on the form of autocorrelation functions and spectral energy density functions. The use of the simulation error as a criterion for quality assessment is proposed. The discretization method is considered for signals given both on unlimited definition intervals and on limited ones. The article demonstrates results of the software system implementation in which the original simulation method is realized using the described sampling methods in both cases. The proposed technique is shown to be robust and efficient, with the results obtained being of independent scientific and technical value and showing promise for developing new effective spectral techniques of simulating signals for the use in intelligent decision support systems.
本文研究了利用普加乔夫(V. S. Pugachev)在二维情况下提出的著名算法的推广——原始谐波法(original harmonic method)对二维随机信号进行模拟时能量特性的离散化方法。对采样方法提出的要求是为了降低模拟方法的计算复杂度,并通过消除对自相关函数和谱能量密度函数形式的限制来增加其灵活性。提出了将仿真误差作为质量评价标准的方法。考虑了无限定义区间和有限定义区间信号的离散化方法。本文演示了软件系统实现的结果,在这两种情况下,使用所描述的采样方法实现了原始的仿真方法。结果表明,该方法鲁棒性好、效率高,具有独立的科学技术价值,为智能决策支持系统开发新的有效的信号模拟频谱技术提供了前景。
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引用次数: 1
Development of software for the segmentation of text areas in real-scene images 实景图像文本区域分割软件的开发
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-1047
V. A. Lobanova, Yuliya Ivanova
This article discusses the design and development of a neural network algorithm for the segmentation of text areas in real-scene images. After reviewing the available neural network models, the U-net model was chosen as a basis. Then an algorithm for detecting text areas in real-scene images was proposed and implemented. The experimental training of the network allows one to define the neural network parameters such as the size of input images and the number and types of the network layers. Bilateral and low-pass filters were considered as a preprocessing stage. The number of images in the KAIST Scene Text Database was increased by applying rotations, compression, and splitting of the images. The results obtained were found to surpass competing methods in terms of the F-measure value.
本文讨论了一种用于真实场景图像文本区域分割的神经网络算法的设计和开发。在回顾了现有的神经网络模型后,选择U-net模型作为基础。在此基础上,提出并实现了一种实景图像文本区域检测算法。网络的实验训练允许人们定义神经网络参数,如输入图像的大小和网络层的数量和类型。双边滤波器和低通滤波器被认为是预处理阶段。通过对图像进行旋转、压缩和分割,增加了KAIST场景文本数据库中的图像数量。所获得的结果被发现在f测量值方面优于竞争方法。
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引用次数: 0
Experimental study of a matrix method of equal-weight columns correcting ability to protect data from erasure 等权重列校正保护数据不被擦除的矩阵方法的实验研究
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-1122
Е.E. Aydarkin, N. Mogilevskaya
The paper investigates the ability of the equal-weight columns method to resist grouping erasures. The Gilbert model for error generation flow is adapted for the case of erasures. A simulation model of the erasure-correction channel is constructed with the possibility of choosing the type of erasure and the method of protection against erasure. With the help of this model, an experimental study of the equal-weight column method and its modifications is conducted and a detailed analysis of the results with conclusions for developers of networks and data transmission channels is carried out. An estimate of the decoding probability is constructed. A method of dealing with clustering erasures by using additional redundancy is proposed.
本文研究了等权列法抗分组擦除的能力。错误产生流的吉尔伯特模型适用于擦除的情况。建立了可以选择擦除类型和防擦除方法的擦除校正通道的仿真模型。利用该模型对等权重柱法及其修正进行了实验研究,并对结果进行了详细的分析,为网络和数据传输通道的开发人员提供了结论。构造了解码概率的估计。提出了一种利用附加冗余处理聚类擦除的方法。
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引用次数: 0
An automatic method for subpixel registration of KMSS-M imagery based on coarse-resolution actualized reference 基于粗分辨率实际参考的KMSS-M图像亚像素自动配准方法
IF 1 Q4 OPTICS Pub Date : 2022-10-01 DOI: 10.18287/2412-6179-co-1098
D. Plotnikov, P. Kolbudaev, E. Loupian
The paper describes a method for automatic subpixel-accurate geographic referencing of imagery acquired by KMSS-M with 60 m spatial resolution, based on leveraging a coarse, reconstructed, cloud-free and daily updated MODIS surface reflectance reference image. The method is based on maximizing Pearson's correlation value when determining an optimal local displacement of the distorted image fragment by comparing with the reference image. To assess the effectiveness of the method when used over continental-scale and heterogeneous areas, three experiments were carried out providing quantitative estimates of imagery registration errors: an experiment with model datasets, an experiment to estimate the absolute registration error of MODIS reference imagery, and an experiment to estimate the registration error of geocorrected KMSS-M data. Experimental evaluation of the method based on model datasets of decameter-resolution Sentinel-2 (MSI) imagery demonstrated its robustness when used over a variety of environmental conditions over a one year-long observation period. The average georeferencing error of MODIS coarse-resolution reference was shown to be less than 20 meters in Red and Near-infrared bands. Corrected KMSS-M imagery evaluation over the Russian Grain Belt within 2020 has shown, on average, the subpixel referencing accuracy both in Red and Near-infrared bands, while the average absolute georeferencing error of the original uncorrected KMSS-M imagery was shown to be about 3 kilometers. Subpixel registration accuracy of KMSS-M imagery, corrected with MODIS-based coarse-resolution reference, opens new prospects for using multi-temporal analysis of this multispectral surface reflectance data in a variety of scientific and practical applications associated with vegetation cover satellite monitoring. The technological flexibility of the method ensures its applicability to data from other satellite systems for Earth optical remote sensing.
本文介绍了一种利用粗糙的、重建的、无云的、每日更新的MODIS地表反射率参考图像,对KMSS-M获取的60 m空间分辨率图像进行亚像素级精确地理自动参考的方法。该方法通过与参考图像的比较,在确定畸变图像片段的最优局部位移时,基于最大化Pearson的相关值。为了评估该方法在大陆尺度和非均质区域的有效性,进行了3个实验,提供了图像配准误差的定量估计:模型数据集实验、MODIS参考图像绝对配准误差估计实验和地理校正的KMSS-M数据配准误差估计实验。基于十米分辨率Sentinel-2 (MSI)图像模型数据集的实验评估表明,在一年的观测期内,该方法在各种环境条件下使用时具有鲁棒性。在红外和近红外波段,MODIS粗分辨率基准的平均地理参考误差小于20 m。2020年俄罗斯粮食带校正后的KMSS-M影像评估结果显示,在红、近红外波段,校正后的KMSS-M影像平均具有亚像元参考精度,而未校正的原始KMSS-M影像平均绝对地理参考误差约为3公里。KMSS-M影像的亚像元配准精度,经过基于modis的粗分辨率参考校正,为在植被覆盖卫星监测相关的各种科学和实际应用中利用多光谱表面反射率数据进行多时相分析开辟了新的前景。该方法的技术灵活性保证了其对其他卫星系统的地球光学遥感数据的适用性。
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引用次数: 1
期刊
Computer Optics
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