Optics and Lasers in Engineering最新文献_第10页

360° curved surface stitching projection light field display and reuse acceleration encoding algorithm based on parallax image 基于视差图像的360°曲面拼接投影光场显示与复用加速编码算法

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-09 DOI: 10.1016/j.optlaseng.2025.109103

Haiyang Yu , Xiaoyu Jiang , Xingpeng Yan , Qingyu Meng , Xiaoming Chen , Jiexuan Guo , Zhaoxuan Zhang

{"title":"360° curved surface stitching projection light field display and reuse acceleration encoding algorithm based on parallax image","authors":"Haiyang Yu , Xiaoyu Jiang , Xingpeng Yan , Qingyu Meng , Xiaoming Chen , Jiexuan Guo , Zhaoxuan Zhang","doi":"10.1016/j.optlaseng.2025.109103","DOIUrl":"10.1016/j.optlaseng.2025.109103","url":null,"abstract":"<div><div>This study established a 360° curved surface stitching light field 3D reconstruction system and proposed a novel Curved surface Stitching Reuse Acceleration (CSRA) light field encoding algorithm based on parallax images, alongside a surface stitching light field calibration algorithm, collectively achieving a 360° horizontal parallax naked-eye 3D display. Improved from the traditional flat algorithm, the CSRA algorithm computes the mapping relationships for each reconstruction light ray under curved conditions by leveraging the central symmetry of the 360° curved surface light field for path reuse acceleration. This method significantly boosts encoding speed while preserving reconstruction quality. Concurrently, the surface stitching light field calibration algorithm proficiently amends reconstruction errors through multi-partition perspective transformations. The application of these algorithms in a 360° projection light field reconstruction system utilizes a circular array of projectors and cylindrical lens compound diffusers to generate expansive, 270° field-of-view three-dimensional display effects horizontally. Tested with various datasets, the system demonstrated high visual fidelity, as evidenced by PSNR and SSIM indices, and notably quicker encoding times, more than 57 times faster than conventional methods. This research not only highlights the feasibility of dynamic light field displays but also establishes a foundation for real-time light field applications, advancing the frontiers of 3D display technology.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109103"},"PeriodicalIF":3.5,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Diffractive encoding microlens arrays for real-time wavefront sensing with large dynamic range and high sensitivity 用于实时波前传感的衍射编码微透镜阵列具有大动态范围和高灵敏度

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-09 DOI: 10.1016/j.optlaseng.2025.109130

Zhiwei Wu , Junjie Yu , Fenglu Zheng , Jin Zhang , Haiqin Xu

引用次数: 0

A review on the development of 3D image reconstruction algorithms based on sparse single-photon data 基于稀疏单光子数据的三维图像重建算法研究进展

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-09 DOI: 10.1016/j.optlaseng.2025.109148

Yimeng Zhu , Cuiping Yu , Youwei Yang , Qinghui Pan , Yong Shuai

{"title":"A review on the development of 3D image reconstruction algorithms based on sparse single-photon data","authors":"Yimeng Zhu , Cuiping Yu , Youwei Yang , Qinghui Pan , Yong Shuai","doi":"10.1016/j.optlaseng.2025.109148","DOIUrl":"10.1016/j.optlaseng.2025.109148","url":null,"abstract":"<div><div>Single-photon light detection and ranging (SP-LiDAR), which is recognized for its single-photon sensitivity and picosecond-level time resolution, excels at extracting target information from weak signals by accumulating multiple counts. This technology has been extensively applied in precise cartographic mapping and accurate navigation of autonomous vehicles. Owing to the advantages of image reconstruction algorithms in single-photon high-resolution real-time imaging, including low cost, minimal technical complexity, and superior reconstruction quality, these algorithms have become a focal point in single-photon imaging research. To address the challenges of sparse signals and intense noise in single-photon imaging, researchers have employed regularized optimization algorithms, Bayesian probability models and deep learning architectures to extract target features under adverse conditions, significantly enhancing the performance of imaging systems. Based on the detection and imaging principles of single-photon LiDAR, this paper critically reviews typical research on image reconstruction algorithms in photon-starved regimes and their advancements for complex detection targets and attenuative transmission media and discusses potential future directions for these algorithms.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109148"},"PeriodicalIF":3.5,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144240588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Automated unstable resonator alignment via real-time global-local evaluation of near-field interference 通过实时全局-局部评估近场干扰的自动不稳定谐振器对准

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-07 DOI: 10.1016/j.optlaseng.2025.109142

Yafei Feng, Hao Wen, Qian Meng, Jianzeng Guo, Chengfu Wei, Xiaoming Ren, Jie Wang, Xiankui Liu

引用次数: 0

PLAM system-mediated optimization of 808 nm low-level laser power density for enhanced bioactivity in human umbilical cord mesenchymal stem cells PLAM系统介导的808 nm低功率激光密度对人脐带间充质干细胞生物活性增强的优化

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-07 DOI: 10.1016/j.optlaseng.2025.109129

Xiuwen Guo , Liquan Dong , Xin Wang , Rujun Dai , Jinyu Li , Shujun Liu , Lingqin Kong , Ming Liu , Yuejin Zhao , Mei Hui , Xuhong Chu

{"title":"PLAM system-mediated optimization of 808 nm low-level laser power density for enhanced bioactivity in human umbilical cord mesenchymal stem cells","authors":"Xiuwen Guo , Liquan Dong , Xin Wang , Rujun Dai , Jinyu Li , Shujun Liu , Lingqin Kong , Ming Liu , Yuejin Zhao , Mei Hui , Xuhong Chu","doi":"10.1016/j.optlaseng.2025.109129","DOIUrl":"10.1016/j.optlaseng.2025.109129","url":null,"abstract":"<div><div>Low-level laser therapy (LLLT) has significant potential in regenerative medicine for enhancing mesenchymal stem cells (MSCs) function. However, the optimal irradiation parameters, particularly power density, remain unclear. In this study, we developed an automated Precision Laser Adjustment and Motion (PLAM) system to investigate the effects of an 808 nm power-adjustable laser on human umbilical cord mesenchymal stem cells (HUMSCs). The laser was applied at power densities ranging from 10 to 500 mW/cm², with a constant energy density of 4 J/cm². Under these irradiation conditions, the biological responses showed clear power-dependence, with optimal effects observed at 100 and 250 mW/cm², consistent with the Arndt-Schulz law. Specifically, the 250 mW/cm² irradiation significantly accelerated cell migration at 24 hours and achieved the highest cell viability at 48 hours (<em>P</em> < 0.01). Notably, the 100 mW/cm² protocol demonstrated superior biosafety, maintaining sustained ATP production (<em>p</em> < 0.001 at 24 hours; <em>p</em> < 0.01 at 48 hours) and moderate reactive oxygen species (ROS) levels (<em>p</em> < 0.0001), making it reliable for long-term stem cells expansion. Real-time temperature monitoring showed ΔT ≤1 °C, ruling out thermal damage. The results emphasize the importance of optimizing power density in LLLT and identify 100 mW/cm² as the optimal balance between therapeutic efficacy and safety. Furthermore, the PLAM system simplifies the irradiation procedure, reduces operational errors, and enhances experimental repeatability. These findings provide a scientific basis for standardizing LLLT parameters in regenerative medicine and introduce the PLAM automated experimental platform for future photobiomodulation research.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109129"},"PeriodicalIF":3.5,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

SSSAT-Net: Spectral-Spatial Self-Attention-Based Transformer Network for hyperspectral image classification SSSAT-Net：基于光谱空间自关注的高光谱图像分类变压器网络

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-07 DOI: 10.1016/j.optlaseng.2025.109154

Linsheng Huang , Lu Zhang , Chao Ruan , Jinling Zhao

{"title":"SSSAT-Net: Spectral-Spatial Self-Attention-Based Transformer Network for hyperspectral image classification","authors":"Linsheng Huang , Lu Zhang , Chao Ruan , Jinling Zhao","doi":"10.1016/j.optlaseng.2025.109154","DOIUrl":"10.1016/j.optlaseng.2025.109154","url":null,"abstract":"<div><div>In recent years, Convolutional Neural Networks (CNNs) have demonstrated remarkable performance in hyperspectral image classification. However, due to the high-dimensional redundancy of hyperspectral data, different spectral bands contribute significantly varying relevance to classification tasks. Additionally, existing networks commonly adopt patch-based input strategies, which struggle to effectively model spatial correlations between central pixels and their neighboring regions. The local receptive fields inherent to traditional CNNs further limit their ability to capture global features. To address these challenges, this study proposes a Spectral-Spatial Self-Attention-Based Transformer Network (SSSAT). The model first employs Principal Component Analysis (PCA) to reduce dimensionality, followed by the Convolutional Block Attention Module (CBAM) to selectively extract discriminative spectral-spatial features. Subsequently, the Spectral Attention Module (SpeAM) integrates Squeeze-and-Excitation (SE) attention with depthwise separable convolution to achieve adaptive calibration of spectral bands. The Spatial Attention Module (SpaAM) is further constructed to enhance spatial feature representation through a Manhattan Distance based Feature Vector Self-similarity Attention module (MDSA), while the Multi-Scale Convolutional Information Fusion module (MSCIF) explores spatial characteristics at multiple scales. Additionally, the Transformer architecture is utilized to extract global spectral-spatial features. Finally, classification is performed via a linear layer. Experimental results on five public datasets (Indian Pines, Kennedy Space Center, Pavia University, Houston 2013 and Salinas) demonstrate that SSSAT achieves superior classification performance compared to state-of-the-art methods.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109154"},"PeriodicalIF":3.5,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Enhanced association and detection accuracy in multi-object tracking with camera-LiDAR Data Fusion 摄像机-激光雷达数据融合提高了多目标跟踪的关联和检测精度

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-06 DOI: 10.1016/j.optlaseng.2025.109125

Shao-Jun Zhang, Pei-Ju Chiang

{"title":"Enhanced association and detection accuracy in multi-object tracking with camera-LiDAR Data Fusion","authors":"Shao-Jun Zhang, Pei-Ju Chiang","doi":"10.1016/j.optlaseng.2025.109125","DOIUrl":"10.1016/j.optlaseng.2025.109125","url":null,"abstract":"<div><div>Traditional multiple-object tracking methods employ single sensors, such as optical LiDAR or cameras. However, using only a single sensing modality may cause information loss, which impairs the tracking performance. Thus, the present study proposes an object tracking system in which 2D and 3D detection boxes acquired by a camera and LiDAR sensor, respectively, are combined and preprocessed before being input to the tracker. The efficiency of the association algorithm used to match the detection boxes with existing target boxes is enhanced by utilizing a simple Intersection over Union (IOU) measure and prioritizing the high-confidence 3D detection boxes in the matching process. Moreover, following the association process, the 2D information is used to update the state of the 3D tracking boxes in the following image frame, thereby improving the stability and continuity of the 3D trajectories and enhancing the tracking performance. The performance of the proposed method is evaluated using the HOTA and sAMOTA metrics. The results confirm that using complementary information obtained from 2D and 3D detectors significantly improves the accuracy and robustness of the object tracking process.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109125"},"PeriodicalIF":3.5,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Application research of polarization imaging technology in inhomogeneous media/material: A review 偏振成像技术在非均匀介质/材料中的应用研究综述

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-05 DOI: 10.1016/j.optlaseng.2025.109113

Weifeng Kong, Guanying Huo

{"title":"Application research of polarization imaging technology in inhomogeneous media/material: A review","authors":"Weifeng Kong, Guanying Huo","doi":"10.1016/j.optlaseng.2025.109113","DOIUrl":"10.1016/j.optlaseng.2025.109113","url":null,"abstract":"<div><div>Light scattering in inhomogeneous media/material, such as fog, turbid water and biological tissues, severely limits the imaging quality and resolution of traditional imaging techniques. Polarization imaging technology uses the polarization characteristics of light to effectively suppress scattered light and enhance the target signal, thus improving the imaging quality. At present, there are many research achievements focus on polarization imaging technology, but there is a lack of systematic and comprehensive review. In this paper, the recent progress of polarization imaging in inhomogeneous media/material is reviewed and analyzed. Firstly, we introduce the fundamental theory of polarization imaging, covering the acquisition of polarization parameters and the concept of the Mueller matrix. Next, we detail the primary application areas, including image defogging enhancement, medical imaging diagnosis, remote sensing object classification, and industrial vision inspection. Subsequently, we analyze and compare the advantages and limitations of existing methods, along with their specific application scopes. Finally, we discuss the challenges and prospective developments in polarization imaging, offering insights for researchers, particularly in hardware optimization, imaging technique integration, the fusion of deep learning with physical models, and the acceleration of quantum computing.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109113"},"PeriodicalIF":3.5,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Visually meaningful asymmetric image encryption based on a random devil's vortex phase mask in the gyrator transform domain 基于旋翼变换域随机魔鬼涡相位掩模的有视觉意义的非对称图像加密

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-05 DOI: 10.1016/j.optlaseng.2025.109121

Yujia Liu , Chiu-Wing Sham , Fuqi Zhang , Hui Zhao , Longyu Ma

{"title":"Visually meaningful asymmetric image encryption based on a random devil's vortex phase mask in the gyrator transform domain","authors":"Yujia Liu , Chiu-Wing Sham , Fuqi Zhang , Hui Zhao , Longyu Ma","doi":"10.1016/j.optlaseng.2025.109121","DOIUrl":"10.1016/j.optlaseng.2025.109121","url":null,"abstract":"<div><div>Traditional image encryption methods usually generate noisy ciphertext images, which are vulnerable to targeted analysis by attackers, thus exposing the existence of encrypted information. To solve this problem, this study proposes a visually meaningful asymmetric image encryption method based on the rotation transform domain and random devil’s vortex phase mask (<em>RDVPM</em>). The proposed method constructs <em>RDVPM</em> using devil lens function, Fresnel zone plate phase function and vortex phase function, and uses it as the public key of the encryption system. In addition, using visually meaningful images, amplitude and phase truncation techniques are used in the gyrator transform domain to construct an asymmetric encryption system to generate a specific Private key source, effectively improving the efficiency of encryption and decryption while ensuring that the system has a high degree of security. The visually meaningful image is a completely natural image that does not contain the original image information, which effectively improves the security of the encryption system. Numerical simulation results show that under the conditions of multiple test images, the proposed algorithm has high system parameter sensitivity and key sensitivity, and has good statistical characteristics. It has good robustness and security under Gaussian noise, speckle noise and salt and pepper noise attacks, occlusion attacks, chosen plaintext attacks and specific attack conditions. The proposed optical asymmetric encryption method provides a new idea for fast and secure visually meaningful image encryption.</div></div>","PeriodicalId":49719,"journal":{"name":"Optics and Lasers in Engineering","volume":"194 ","pages":"Article 109121"},"PeriodicalIF":3.5,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Triple-subdivision vortex beam interferometer for precision displacement measurement 用于精密位移测量的三重细分涡旋光束干涉仪

IF 3.5 2区工程技术

Optics and Lasers in Engineering Pub Date : 2025-06-05 DOI: 10.1016/j.optlaseng.2025.109128

Boyang Zhang , Ji Liu , Jinhui Wu

引用次数: 0