Optical Engineering最新文献_第6页

Vision-guided three-dimensional range-gated imaging based on epistemic uncertainty estimation 基于认识不确定性估计的视觉引导三维测距成像技术

IF 1.3 4区工程技术

Optical Engineering Pub Date : 2023-12-01 DOI: 10.1117/1.OE.62.12.123105

Xiaoquan Liu, Yangyang Niu, Xinwei Wang

引用次数: 0

Experimental research on image demodulation for optical camera communication (Erratum) 用于光学摄像机通信的图像解调实验研究（勘误表）

IF 1.3 4区工程技术

Optical Engineering Pub Date : 2023-12-01 DOI: 10.1117/1.oe.62.12.129801

Xizheng Ke, Chandi Liu, Jingyuan Liang, Huanhuan Qin

引用次数: 0

Multilayered dielectric metamaterial design for terahertz polarization quarter wave plates with ultrabroad achromatic bandwidth 具有超宽消色差带宽的太赫兹偏振四分之一波板的多层介电超材料设计

IF 1.3 4区工程技术

Optical Engineering Pub Date : 2023-12-01 DOI: 10.1117/1.OE.62.12.125105

Zhuo Zhang, Yandong Gong, K. Pang

{"title":"Multilayered dielectric metamaterial design for terahertz polarization quarter wave plates with ultrabroad achromatic bandwidth","authors":"Zhuo Zhang, Yandong Gong, K. Pang","doi":"10.1117/1.OE.62.12.125105","DOIUrl":"https://doi.org/10.1117/1.OE.62.12.125105","url":null,"abstract":"Abstract. Metasurface is a two-dimensional form of metamaterial that is ultra-thin in volume and light in weight and capable of controlling the polarization state of electromagnetic waves; nevertheless, it has a very small bandwidth. We offer a terahertz (THz) metamaterial with several transmission-mode-operating dielectric layers that may, over a wide frequency range, convert polarized light. The suggested polarization quarter wave plate (WP) is effective throughout a broad frequency range, including 0.85 to 2.45 THz, with a low insertion loss of 2.57 dB and an ultrabroad bandwidth approaching 1600 GHz when the angle of polarized incidence is 45 deg. Regarding the impacts of shapes, elliptical pillar geometries, and the quantity of dielectric layers, the effectiveness of polarization conversion are also investigated. The proposed WPs are highly suited for use in THz optical systems due to their ultrathin subwavelength thickness. Furthermore, the relationship between the number of layers and bandwidth based on the multi-layer elliptic cylinder results in novel transmission phase properties that increase the likelihood of polarization control of incident waves over a wider bandwidth.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"64 2","pages":"125105 - 125105"},"PeriodicalIF":1.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental study of underwater wireless optical channel model 水下无线光信道模型的实验研究

IF 1.3 4区工程技术

Optical Engineering Pub Date : 2023-12-01 DOI: 10.1117/1.OE.62.12.124103

Xizheng Ke, Jing Bao, Jingyuan Liang

{"title":"Experimental study of underwater wireless optical channel model","authors":"Xizheng Ke, Jing Bao, Jingyuan Liang","doi":"10.1117/1.OE.62.12.124103","DOIUrl":"https://doi.org/10.1117/1.OE.62.12.124103","url":null,"abstract":"Abstract. The propagation of a laser beam in an underwater environment gives rise to attenuation caused by absorption and scattering as well as fading caused by turbulence. These effects lead to a decrease in light power and fluctuations in light intensity. To account for variations in water velocity, flow direction, and distance in communication links, field measurements were conducted in rivers and ocean nearshore waters. Based on these measurements, a model for an underwater wireless optical channel was developed. Our study involves the measurement and analysis of light intensity fluctuation, loss of received light power, and the structure constant in various underwater regions. Additionally, the investigation examines the variation of the bit-error rate in relation to different signal-to-noise ratios. The results suggest that the river displays attributes of low turbulence, whereas the ocean’s nearshore waters exhibit a moderate level of turbulence under the specified circumstances. As the velocity of the water increases, the scintillation index of the received optical signal also increases, indicating a higher degree of signal instability. When transmitting horizontally, the scintillation index of the received optical signal remains unaffected by the direction of water flow. Furthermore, as the distance between the transmitter and receiver increases, the scintillation index of the received optical signal intensifies, indicating a greater level of signal instability. The presence of the external interference factors can increase turbulence intensity. Within a depth range of 60 cm underwater, the turbulence intensity at different depths remains basically unchanged.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"14 4","pages":"124103 - 124103"},"PeriodicalIF":1.3,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139190541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optical communications in turbulence: a tutorial 湍流中的光通信：教程

IF 1.3 4区工程技术

Optical Engineering Pub Date : 2023-12-01 DOI: 10.1117/1.oe.63.4.041207

Larry B. Stotts, Larry C. Andrews

引用次数: 0

Low power digital signal processing-lite scheme for short-reach polarization demultiplexing-64 quadrature amplitude modulation coherent optical system 短距离偏振解复用的低功耗数字信号处理-64正交调幅相干光学系统

4区工程技术

Optical Engineering Pub Date : 2023-11-14 DOI: 10.1117/1.oe.62.11.118102

Qiang Li, Wei Ji, Penghui Li, Pengcheng Liu, Fengyu Liu, Yuqian Wang, Yanjun Zhu

{"title":"Low power digital signal processing-lite scheme for short-reach polarization demultiplexing-64 quadrature amplitude modulation coherent optical system","authors":"Qiang Li, Wei Ji, Penghui Li, Pengcheng Liu, Fengyu Liu, Yuqian Wang, Yanjun Zhu","doi":"10.1117/1.oe.62.11.118102","DOIUrl":"https://doi.org/10.1117/1.oe.62.11.118102","url":null,"abstract":"Coherent optical communication critically relies on efficient digital signal processing (DSP). We demonstrate a lite DSP scheme to reduce the transmission cost and power consumption, which is mainly realized by reducing the sampling rate and simplifying the DSP algorithm. On the one hand, the baud-rate sampling technique based on the integral circuit can reduce the amount of data processing in DSP. On the other hand, we proposed a simplified joint modified constant modulus algorithm (MCMA) and phase-dependent decision-directed least mean square (DD-LMS) algorithm for adaptive blind polarization demultiplexing and phase recovery in which the butterfly structure is no longer needed for DD-LMS. And we compare the proposed simplified algorithm with the joint traditional CMA and blind phase search and the MCMA, in terms of performance in the 80-Gbaud dual-polarization 64QAM homodyne detection system. The results show that the proposed lite DSP mechanism can effectively reduce the power consumption of DSP by sub-rate sampling and simplifying the corresponding algorithm, which provides an alternative scheme for low-power optical interconnection of data centers.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"21 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134901233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exact formula for longitudinal chromatic aberration of a thick lens through design parameters 通过设计参数计算厚透镜纵向色差的精确公式

4区工程技术

Optical Engineering Pub Date : 2023-11-10 DOI: 10.1117/1.oe.62.11.115102

Roman Duplov

引用次数: 0

Small object detection for autonomous driving under hazy conditions on mountain motorways 山地高速公路雾霾条件下自动驾驶小目标检测

4区工程技术

Optical Engineering Pub Date : 2023-11-10 DOI: 10.1117/1.oe.62.11.113101

Yuantao Wang, Yongsheng Qiu, Haiyang Jiang, Yuanyao Lu

{"title":"Small object detection for autonomous driving under hazy conditions on mountain motorways","authors":"Yuantao Wang, Yongsheng Qiu, Haiyang Jiang, Yuanyao Lu","doi":"10.1117/1.oe.62.11.113101","DOIUrl":"https://doi.org/10.1117/1.oe.62.11.113101","url":null,"abstract":"To address the issue of high miss rates for distant small objects and the diminished system detection performance due to the influence of hazy when autonomous vehicles operate on mountain highways. We propose a framework for small object vehicle detection in hazy traffic environments (SHTDet). This framework aims to enhance small object detection for autonomous driving under hazy conditions on mountainous motorways. Specifically, to restore the clarity of hazy images, we designed an image enhancement (IE), and its parameters are predicted by a convolutional neural network [filter parameter estimation (FPE)]. In addition, to enhance the detection accuracy of small objects, we introduce a cascaded sparse query (CSQ) mechanism, which effectively utilizes high-resolution features while maintaining fast detection speed. We jointly optimize the IE and the detection network (CSQ-FCOS) in an end-to-end manner, ensuring that FPE module can learn a suitable IE. Our proposed SHTDet method is adept at adaptively handling sunny and hazy conditions. Extensive experiments demonstrate the efficacy of the SHTDet method in detecting small objects on hazy sections of mountain highways.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"116 28","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135137950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ARODNet: adaptive rain image enhancement object detection network for autonomous driving in adverse weather conditions ARODNet:用于恶劣天气条件下自动驾驶的自适应雨图像增强目标检测网络

4区工程技术

Optical Engineering Pub Date : 2023-11-10 DOI: 10.1117/1.oe.62.11.118101

Yongsheng Qiu, Yuanyao Lu, Yuantao Wang, Haiyang Jiang

{"title":"ARODNet: adaptive rain image enhancement object detection network for autonomous driving in adverse weather conditions","authors":"Yongsheng Qiu, Yuanyao Lu, Yuantao Wang, Haiyang Jiang","doi":"10.1117/1.oe.62.11.118101","DOIUrl":"https://doi.org/10.1117/1.oe.62.11.118101","url":null,"abstract":"The current field of autonomous driving has achieved superior object detection performance in good weather conditions. However, the environment sensing capability of autonomous vehicles is severely affected in rainfall traffic environments. Although deep-learning-based image derain algorithms have made significant progress, integrating them with high-level vision tasks, such as object detection, remains challenging due to the significant differences between the derain and object detection algorithms. Additionally, the accuracy of object detection in real rain traffic environments is significantly reduced due to the domain transfer problem between the training dataset and the actual rain environment. To address this domain-shifting problem, we propose an adaptive rain image enhancement object detection network for autonomous driving in adverse weather conditions (ARODNet). This network architecture consists of an image adaptive enhancement module, an image derain module, and an object detection module. The baseline detection module (CBAM-YOLOv7) is built by incorporating the YOLOv7 object detection network into a feed-forward convolutional neural network, and it includes an attention module (CBAM). We propose a domain adaptive rain image enhancement module, DRIP, for low-quality images acquired under heavy rainfall conditions. DRIP enhances low-quality images on rainy days by adaptively learning multiple preprocessing weights. To remove the effects of rain patterns and fog clouds on image detection, we introduce DRIP-enhanced images into the depth estimation derain module (DeRain) to prevent rain and fog from obscuring the objects to be detected. Finally, the multistage joint training strategy is adopted to improve the training efficiency, and the object detection is performed while the image is derained. The efficacy of the ARODNet network for object detection in rainy weather traffic environments has been demonstrated through numerous quantitative and qualitative studies.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"33 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135093260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-time compensation of projector lens distortion using a linear-grid model in fringe projection profilometry 条纹投影轮廓术中基于线性网格模型的投影透镜畸变实时补偿

4区工程技术

Optical Engineering Pub Date : 2023-11-10 DOI: 10.1117/1.oe.62.11.114103

Yi Bai, Geyou Zhang, Daniel L. Lau, Bo Zhang, Bin Xu, Kai Liu

{"title":"Real-time compensation of projector lens distortion using a linear-grid model in fringe projection profilometry","authors":"Yi Bai, Geyou Zhang, Daniel L. Lau, Bo Zhang, Bin Xu, Kai Liu","doi":"10.1117/1.oe.62.11.114103","DOIUrl":"https://doi.org/10.1117/1.oe.62.11.114103","url":null,"abstract":"In fringe projection profilometry, applying pre-distortion to fringe patterns reduces the errors caused by projector lens distortion. However, it is important to note that discontinuous fringe patterns, such as binary fringe patterns, introduce additional errors when using pre-distortion methods. While post-undistortion methods are applicable for discontinuous fringe patterns, the computation is typically time-consuming. We propose a linear-grid model for correcting lens distortion. First, we select multiple equidistant points within the grid to calculate the linear parameters and store them as look-up tables (LUTs). Second, by rounding down the captured distorted point to the nearest integer point, we obtain the index value for LUTs. Finally, we achieve real-time compensation for distortion error through linear expressions. The experimental results show that the proposed effectively mitigates the distortion by a factor of 6 × in terms of root mean squared error. Additionally, it exhibits a computational speed of 409.50 fps, which is an improvement compared to the traditional iterative model at 39.48 fps and the scale-offset model at 264.48 fps.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135137567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0