Zhen Yuan, Yi Li, Wenyan Dai, Ke Lin, Weiye He, Haoting Zhang, Chang Xue, Junyi Yan, Jincheng Mei, Jiaqing Zhuang, Xingping Wang
{"title":"Tunable optical buffer based on VO2/Si hybrid waveguide by optically induced phase transition","authors":"Zhen Yuan, Yi Li, Wenyan Dai, Ke Lin, Weiye He, Haoting Zhang, Chang Xue, Junyi Yan, Jincheng Mei, Jiaqing Zhuang, Xingping Wang","doi":"10.1117/1.OE.62.11.117102","DOIUrl":"https://doi.org/10.1117/1.OE.62.11.117102","url":null,"abstract":"Abstract. A tunable optical buffer composed of a side-coupled racetrack microring resonator (RMRR) sequence and phase change material vanadium dioxide (VO2) films has been designed and simulated with pass-through and drop functions. By optically induced phase transition of VO2, the number of coupled RMRRs is dynamically controlled to realize the required delay time and the ultra-fast response. Simulation results show that the buffer with 12 RMRRs achieves a tunable delay of up to 309.6 ps, a working bandwidth of 306 GHz, and a super-fast response of 0.62 ps. The delay loss and power consumption are 0.012 dB / ps and 0.194 mW / ps, respectively. These findings suggest a new approach to realizing tunable delay in all-optical networks.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"66 1","pages":"117102 - 117102"},"PeriodicalIF":1.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139302547","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}
{"title":"Spatial aliasing quantification and analysis of existing imaging sensors: NASA’s Hubble Space Telescope, OrbView-3 OHRIS, and commercial-off-the-shelf camera for autonomous robots","authors":"Jason Mudge, Richard L. Kendrick","doi":"10.1117/1.OE.62.11.113104","DOIUrl":"https://doi.org/10.1117/1.OE.62.11.113104","url":null,"abstract":"Abstract. Spatial aliasing in its most pronounced form is seen as a Moiré pattern in (sampled) images. Less dramatically, aliasing is a form of image quality (IQ) degradation and exists at some level within any (sampled) image. More sampling tends to improve IQ due to less aliasing; however, there are drawbacks. Spatial aliasing has been recently quantified by Mudge [Appl. Opt.62(13), 3260–3264 (2023)] for imaging sensors (optics plus detector). This quantification allows a trade to be made between the acceptable aliasing errors imbedded within the (sampled) image and the penalty, or cost, associated with additional sampling, e.g., increased complexity, data throughput and storage, and reduced signal-to-noise ratio for fixed arrays or increased scan time. In this work, we examine several existing and useful imaging sensors along with their imagery and aliasing errors to appreciate how well these existing systems are designed with respect to sampling to better inform how future systems could potentially be improved. Finally, from these analyses, a 2% aliasing error rule is extracted initiating a universal aliasing boundary.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"210 1","pages":"113104 - 113104"},"PeriodicalIF":1.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139305682","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}
Z. Ye, Haisong Xu, Yiming Huang, Yuemin Li, Minhang Yang
{"title":"Constructing high-dynamic-range spectral images for natural scenes","authors":"Z. Ye, Haisong Xu, Yiming Huang, Yuemin Li, Minhang Yang","doi":"10.1117/1.OE.62.11.113105","DOIUrl":"https://doi.org/10.1117/1.OE.62.11.113105","url":null,"abstract":"Abstract. The cutting-edge research in high-dynamic-range (HDR) display, such as inverse tone-mapping operators for HDR TV, HDR image quality (IQ) evaluation, and HDR image enhancement, suffer from a lack of reliable training and testing images. To address this problem, we combined the HDR imaging technique with high-accuracy spectral images to construct a first-of-its-kind HDR spectral radiance image. A framework was presented to capture multi-exposure hyperspectral images of HDR outdoor scenes and establish the HDR spectral image. By employing spectrophotometric calibration, the spectral radiance-based HDR images were created. The metadata of the spectral images provide crucial colorimetry information that was absent in the existing datasets. To validate the superiority of the proposed HDR spectral images in typical applications, the spectral sensitivity functions of a camera equipped with a multispectral-filter-array sensor was optimized, and the IQ evaluation results indicate a better adaptability over existing ones. Furthermore, the HDR image augmentation suggests that it is possible to provide a large number of RGB training images for various research objectives based on the proposed images.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"11 1","pages":"113105 - 113105"},"PeriodicalIF":1.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139292862","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}
Jaiver Chicangana-Cifuentes, V. Rodríguez-Fajardo, C. Rosales‐Guzmán, G. Martínez-Ponce
{"title":"Texture classification of complex vector vortex beams","authors":"Jaiver Chicangana-Cifuentes, V. Rodríguez-Fajardo, C. Rosales‐Guzmán, G. Martínez-Ponce","doi":"10.1117/1.OE.62.11.113109","DOIUrl":"https://doi.org/10.1117/1.OE.62.11.113109","url":null,"abstract":"Abstract. Transverse spatial structure associated to complex vector vortex beams (VVBs) is classified through an image texture approach, which is based on Haralick features derived from an azimuthally sensitive gray-level co-occurrence matrix (a-GLCM). Previously, the proposed texture identifier has been tested on azimuthally symmetric digital images presenting an improvement in comparison with conventionally constructed GLCM. Then, considering their suitable spatial symmetry, Laguerre–Gauss mode vector beams were numerically generated to characterize its transverse section. Nonetheless, because of the complex structural information, VVBs are decoupled in three 8-bit grayscale images (channels) corresponding to intensity, orientation, and ellipticity parameters. a-GLCMs and Haralick features for each channel are computed with the aim of quantifying transverse structure evolution as a function of topological charge. Also, image scaling effects are studied to test the approach robustness. Even though it has simplicity, texture analysis based on a-GLCM provides an insight to classify VVB structure.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"189 1","pages":"113109 - 113109"},"PeriodicalIF":1.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139295473","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}
Yang Liu, Fulong Yi, Yuhua Ma, Yongfu Wang, Dianhui Wang
{"title":"Hold surrounding’s key-you only look once version 7: a real-time pedestrian and vehicle detection algorithm in the low-signal-to-noise ratio infrared image","authors":"Yang Liu, Fulong Yi, Yuhua Ma, Yongfu Wang, Dianhui Wang","doi":"10.1117/1.OE.62.11.118105","DOIUrl":"https://doi.org/10.1117/1.OE.62.11.118105","url":null,"abstract":"Abstract. Compared with visible light imaging technology, infrared optical imaging technology (see Fig. 1) is less affected by weather and illumination and is a potential auxiliary solution method for the future of the autonomous driving system. Based on the above characteristics, this study proposes the hold surrounding’s key (HSK)-you only look once (YOLOv7) algorithm. First, based on the characteristics of the infrared image, this study optimizes the network structure of YOLOv7 and proposes a vehicle and pedestrian detection algorithm based on the improved YOLOv7. Aiming at the problem that the reasoning speed and detection accuracy of pedestrian and vehicle detection algorithms based on infrared images are challenging to balance, occupy large storage space, and are difficult to deploy and run in real-time in low and medium-performance devices, the MPConv is added to replace the Conv structure in YOLOv7. In view of the false detection, missed detection, mutual occlusion and overlap of detected objects, and other situations that the YOLOv7 algorithm is prone to cause in the actual deployment environment easily, a tiny object detection layer is added. At the same time, to solve the problem that infrared optical imaging systems are prone to noise caused by external factors, this study introduces the TRPCA method for image denoising in the preprocessing process of the YOLOv7 algorithm. In the end, the HSK-YOLOv7 algorithm is verified using the self-made infrared traffic object detection dataset and the publicly available FLIR dataset to verify the detection effect of the HSK-YOLOv7 algorithm on near-infrared images and thermal infrared images. The parameter quantity of our algorithm is 37.3M, and the computing throughput is 107.5 GFLOPs. The detection speed on the self-made dataset and FLIR dataset reaches 163 frames per second (FPS) and 71.8 FPS, respectively, and the mAP@0.5 indicator reaches 94.08% and 61.3%, respectively. In general, HSK-YOLOv7 can meet the real-time requirements of the autonomous driving system while ensuring detection accuracy.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"34 1","pages":"118105 - 118105"},"PeriodicalIF":1.3,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139298168","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}
Jeffrey A. Davis, Ignacio Moreno, Shang Gao, María del Mar Sánchez-López, Don M. Cottrell
{"title":"Multiplexing onto a spatial light modulator using random binary patterns","authors":"Jeffrey A. Davis, Ignacio Moreno, Shang Gao, María del Mar Sánchez-López, Don M. Cottrell","doi":"10.1117/1.oe.62.10.103104","DOIUrl":"https://doi.org/10.1117/1.oe.62.10.103104","url":null,"abstract":"","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"13 70","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135870246","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}
{"title":"Scintillation and bit error rate analysis of zero-order Bessel–Gauss beams in atmospheric turbulence based on the extended Rytov theory","authors":"Yousef M. Shishter, Falah H. Ali, Rupert C. Young","doi":"10.1117/1.oe.63.4.041205","DOIUrl":"https://doi.org/10.1117/1.oe.63.4.041205","url":null,"abstract":"Free space diffraction causes the spreading of the received energy at the receiver and thus reduces the signal-to-noise ratio. Bessel–Gauss (BG) beams are considered physically realizable beams, which are robust to free space diffraction over finite propagation distances. Non-diffraction beams have proved useful in many applications, such as optical wireless communications (OWC) and non-linear optics. However, in turbulence BG-beams do suffer from turbulence-induced diffraction. The extended Huygens–Fresnel principle is the main tool of analysis under the effect of strong turbulence. However, the extended Rytov theory (ERT) method provides expressions for the small- and large-scale turbulence-induced signal fluctuations and hence is particularly suitable for statistical channel modeling. In this work, application of the ERT to BG-beams propagating through turbulence is carried out. Closed-form expressions for the induced on-axis small- and large-scale log-irradiance variances are derived. The resultant index of scintillation is analyzed. Then, the error performance of OWC is investigated for BG-beams combined with intensity modulation, M-ary phase shift keying, polarization shift keying, and single-input-multiple-output systems. Significant performance gains are reported compared to Gaussian beams.","PeriodicalId":19561,"journal":{"name":"Optical Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136161059","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}