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High-fidelity optical section with digital mask filter: a structured illumination microscopy enhanced by confocal strategy 带数字掩模滤波器的高保真光学切片:共聚焦策略增强的结构照明显微镜
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-07 DOI: 10.1016/j.optlaseng.2025.109599
Xiaohang Duan , Junyi Chen , Nan Wang , Yong Yang
Optical sectioning structured illumination microscopy (OS-SIM) faces limitations in background suppression under low signal-to-noise ratio (SNR) conditions, where out-of-focus noises and scattered light degrade sectioning abilities. To address this limitation, we introduce confocal-inspired optical sectioning structured illumination microscopy (COS-SIM), which integrates confocal-like spatial filtering into the OS-SIM framework to simultaneously process information in both spatial and frequency domains. It replaces conventional sinusoidal illumination with dynamically programmable digital masks generated by a spatial light modulator (SLM) and incorporates conjugate virtual digital masks at the detection plane. By controlling the duty cycle, COS-SIM enables parallelized virtual pinhole array detection for enhanced background rejection, while frequency-domain demodulation yields enhanced optical sectioning performance.This approach retains the high-speed, widefield detection advantage inherent to OS-SIM. Theoretically, COS-SIM maintains axial resolution equivalent to that of OS-SIM, but significantly improves optical sectioning quality through optimized duty-cycle control of the mask patterns, which reduces residual background noise. Experimentally, COS-SIM achieves a depth of field consistent with OS-SIM while yielding superior signal-to-background ratio (SBR) and signal-to-noise ratio (SNR). These results confirm that COS-SIM offers enhanced sectioning fidelity in the presence of strong background signals, extending the applicability of structured illumination microscopy to challenging scenarios such as integrated circuit inspection and metallographic sample detection.
光学切片结构照明显微镜(OS-SIM)在低信噪比(SNR)条件下面临背景抑制的限制,散焦噪声和散射光会降低切片能力。为了解决这一限制,我们引入了共聚焦启发光学切片结构照明显微镜(COS-SIM),它将类似共聚焦的空间滤波集成到OS-SIM框架中,同时处理空间和频域的信息。它用空间光调制器(SLM)生成的动态可编程数字掩模取代了传统的正弦照明,并在检测平面上集成了共轭虚拟数字掩模。通过控制占空比,COS-SIM可以实现并行的虚拟针孔阵列检测,以增强背景抑制,而频域解调可以增强光学切片性能。这种方法保留了OS-SIM固有的高速、宽视场检测优势。理论上,COS-SIM保持了与OS-SIM相当的轴向分辨率,但通过优化掩模模式的占空比控制,显著提高了光学切片质量,减少了残余背景噪声。实验结果表明,COS-SIM获得了与OS-SIM一致的景深,同时具有优越的信背景比(SBR)和信噪比(SNR)。这些结果证实,COS-SIM在强背景信号存在下提供了更高的切片保真度,将结构照明显微镜的适用性扩展到集成电路检查和金相样品检测等具有挑战性的场景。
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引用次数: 0
Multiparameter sensing by permanent macrobending deformation 永久性大弯曲变形的多参数传感
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-07 DOI: 10.1016/j.optlaseng.2025.109593
João Preizal , Ricardo Oliveira
This work presents a novel interferometric structure based on two single-mode fibers twisted and fused in a helical structure through a commercial CO2 laser processing station. The resulting device induced macrobending effects that promote light coupling from the core to the cladding and vice versa, creating an interferometric pattern in the transmission spectrum due to the phase difference between the light travelling in the core and cladding regions. The influence of the twist period on the spectral response showed an increased attenuation and higher fringe contrast for shorter twist periods, i.e., low bending radius. The sensing capabilities of the structure were evaluated for torsion, strain, and temperature, yielding sensitivities of −0.49 nm/(rad/m), –8.8 pm/με, and –81 pm/ °C, respectively. Temperature cross-sensitivity was also evaluated, showing values of 0.17 (rad/m)/ °C for torsion and 9 με/ °C for strain. These results highlight the potential of the structure for torsion sensitivity with high sensitivity and low cross-sensitivity. Therefore, this work demonstrates as well that these parameters can be measured using conventional single-mode fiber structures instead of complex and more expensive optical fibers, thereby reducing both cost and system complexity through a simpler and automated fabrication process compared with other fiber-optic sensors.
本文通过商用CO2激光加工站,提出了一种基于两根单模光纤绞合成螺旋结构的新型干涉测量结构。由此产生的装置诱导了巨弯曲效应,促进了从核心到包层的光耦合,反之亦然,由于在核心和包层区域中传播的光之间的相位差,在透射光谱中产生了干涉图样。扭转周期对光谱响应的影响表明,扭转周期越短,即弯曲半径越小,衰减越大,条纹对比度越高。该结构对扭转、应变和温度的传感能力进行了评估,其灵敏度分别为- 0.49 nm/(rad/m)、-8.8 pm/με和-81 pm/°C。温度交叉灵敏度测试结果显示,扭转值为0.17 (rad/m)/°C,应变值为9 με/°C。这些结果突出了具有高灵敏度和低交叉灵敏度的扭转灵敏度结构的潜力。因此,这项工作也证明了这些参数可以使用传统的单模光纤结构来测量,而不是使用复杂和更昂贵的光纤,从而通过与其他光纤传感器相比更简单和自动化的制造过程来降低成本和系统复杂性。
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引用次数: 0
Optimized complex fields for non-iterative generation of phase holograms 优化了相位全息图非迭代生成的复杂场
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-07 DOI: 10.1016/j.optlaseng.2025.109584
Valentina Lobo-Ruiz, Alejandro Velez-Zea, John Fredy Barrera-Ramírez
This work presents a non-iterative method for generating high-quality phase-only holograms based on the optimization of a complex field. To achieve this, an initial complex field is defined such that its product with a target amplitude yields an approximate phase-only hologram of the target after backward propagation. The complex field is then optimized using stochastic gradient descent to minimize a loss function, calculated between each hologram reconstruction and the corresponding target amplitude over a large image database. This enables the use of the optimized complex field (OCF) as a universal pre-computed function for the fast, non-iterative generation of holograms for any target. Numerical evaluations demonstrate that holograms generated with the OCF achieve superior reconstruction quality, as measured by correlation coefficient, mean squared error, and structural similarity, compared to those generated using random phase and optimized Fresnel random phase (OFRAP) methods across various epochs and propagation distances. The effectiveness of the proposed OCF method is further validated through experimental demonstrations in a holographic projection setup using a phase-only spatial light modulator.
本文提出了一种基于复杂场优化的非迭代生成高质量纯相位全息图的方法。为了实现这一点,定义了一个初始复杂场,使其与目标振幅的乘积在反向传播后产生目标的近似纯相位全息图。然后使用随机梯度下降优化复杂场,以最小化损失函数,在每个全息图重建和大型图像数据库上相应的目标振幅之间计算损失函数。这使得使用优化的复杂场(OCF)作为一个通用的预先计算函数,用于快速,非迭代地生成任何目标的全息图。数值评估表明,与使用随机相位和优化菲涅耳随机相位(OFRAP)方法生成的全息图相比,OCF生成的全息图在不同时代和传播距离上的相关系数、均方误差和结构相似性都具有更好的重建质量。通过使用纯相位空间光调制器的全息投影装置的实验演示,进一步验证了所提出的OCF方法的有效性。
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引用次数: 0
Ultrahigh-Q plasmonic-photonic resonances with subwavelength confinement enabled by bound states in the continuum 具有亚波长约束的超高q等离子体光子共振是由连续体中的束缚态实现的
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-07 DOI: 10.1016/j.optlaseng.2026.109605
Shijia Cheng , Hanyue Liu , Kaiyang Wang , Qifeng Ruan , Qiao Jiang , Zhiyuan Gu
Plasmonics, featured with enhanced light-matter interaction and strong wave localization, have been intensively studied theoretically and experimentally in the past few decades. However, the intrinsic ohmic loss in plasmonic-based devices is a challenging issue that limits the performance of such configurations, hindering their application potential. Herein, we propose a simple and effective strategy to achieve optical resonances with ultrahigh quality (Q) factors (∼ 104) and subwavelength confinement (∼ λ2/20) in hybrid plasmonic-photonic structures. The proposed design consists of a silicon superstrate and silver substrate which are separated by a thin silica spacer, forming a composite waveguide layer that supports hybrid plasmonic-photonic guided modes (GMs) with ultrasmall mode area. By patterning low-index polymer gratings onto the stacked films, the obtained GMs can be effectively turned into guided mode resonances with ultrahigh Q factors. Leveraging this strategy, ultrasmall mode area far beyond the diffraction limit can be realized without sacrificing Q factors. Such findings provide a new paradigm to design high-performance plasmonic elements, which may show superiority in nonlinear optics, lasers, and sensors.
等离子体具有光物质相互作用增强和强波局域化的特点,在过去的几十年里得到了广泛的理论和实验研究。然而,基于等离子体的器件的固有欧姆损耗是一个具有挑战性的问题,它限制了这种结构的性能,阻碍了它们的应用潜力。在此,我们提出了一种简单而有效的策略来实现混合等离子体-光子结构中具有超高质量(Q)因子(~ 104)和亚波长约束(~ λ2/20)的光学共振。该设计由硅衬底和银衬底组成,它们被薄硅衬底分隔,形成一个复合波导层,支持具有超小模式面积的混合等离子体-光子引导模式(GMs)。通过将低折射率聚合物光栅图案化到堆叠薄膜上,可以有效地将获得的GMs转化为具有超高Q因子的导模共振。利用这种策略,可以在不牺牲Q因子的情况下实现远超衍射极限的超小模面积。这些发现为设计高性能等离子体元件提供了一个新的范例,它可能在非线性光学、激光和传感器中显示出优势。
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引用次数: 0
Enhanced three-dimensional phase computed tomography with morphological adaptation for complex polymer fiber characterization 增强三维相位计算机断层扫描与形态适应复杂的聚合物纤维表征
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-06 DOI: 10.1016/j.optlaseng.2025.109582
E.Z. Omar
This work presents a novel and enhanced reconstruction method for three-dimensional phase computed tomography specifically designed to reconstruct complex volumetric phase distributions in specimens with severe geometric discontinuities, such as necked regions and surface crazing. Conventional filtered back projection (FBP) algorithms exhibit fundamental limitations, including severe streak artifacts, geometric distortions, and inadequate sampling, when applied to such non-ideal geometries. To overcome these challenges, the proposed methodology uses continuous wavelet transforms to extract phase data from polarizing microscopy. It then employs topology-aware sinogram construction with weighted multi-slice interpolation. Advanced reconstruction algorithms incorporate multi-dimensional regularization through inter-slice continuity constraints and three-dimensional morphological adaptation using geometry-specific Gaussian kernels. Artifacts are suppressed through automated boundary detection and craze identification algorithms. The methodology is experimentally validated using a Pluta polarizing interference microscope and a high-precision rotational stage to acquire interferometric data from isotactic polypropylene (iPP) and polypropylene (PP) fibers encompassing undrawn, necked, and crazed morphologies. Quantitative analysis demonstrates a significant performance improvement over traditional FBP, with error reductions of 20% for regular fibers, 49% for necked fibers, and 53% for crazed fibers, all measured relative to ground truth distributions. The reconstructed 3D phase maps are quantitatively converted to birefringence distributions, revealing distinct microstructural changes induced by drawing, necking, and crazing. This framework provides precise 3D analysis for better quality control of advanced materials.
这项工作提出了一种新的和增强的三维相位计算机断层扫描重建方法,专门用于重建具有严重几何不连续(如颈部区域和表面裂纹)的复杂体积相位分布。传统的滤波反投影(FBP)算法在应用于这种非理想几何形状时存在基本的局限性,包括严重的条纹伪影、几何扭曲和采样不足。为了克服这些挑战,提出的方法使用连续小波变换从偏光显微镜中提取相位数据。然后利用加权多片插值构造拓扑感知的正弦图。先进的重建算法结合了通过片间连续性约束的多维正则化和使用几何特定高斯核的三维形态自适应。通过自动边界检测和裂纹识别算法抑制伪影。利用Pluta偏振干涉显微镜和高精度旋转台对等规聚丙烯(iPP)和聚丙烯(PP)纤维的干涉测量数据进行了实验验证,这些纤维包括未拉伸、颈状和缠结形态。定量分析表明,与传统的FBP相比,该方法的性能有了显著提高,常规纤维的误差降低了20%,颈状纤维的误差降低了49%,疯狂纤维的误差降低了53%,所有这些都是相对于地面真值分布进行测量的。重建的三维相位图被定量地转换为双折射分布,揭示了由拉伸、颈缩和裂纹引起的明显的微观结构变化。该框架提供精确的3D分析,以更好地控制先进材料的质量。
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引用次数: 0
Application-driven multi-modal depth completion in fringe projection profilometry 应用驱动的多模态条纹投影剖面深度完井技术
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-06 DOI: 10.1016/j.optlaseng.2025.109587
Badrinath Balasubramaniam , Vignesh Suresh , Yang Cheng , Jiaqiong Li , Beiwen Li
Fringe projection profilometry (FPP), while capable of sub-millimeter accuracy at kilohertz speeds, produces sparse and incomplete depth maps when scanning objects with complex, heterogeneous material properties including specular metallic surfaces, mirror-like reflective regions, and absorptive materials. This is due to measurement failures predominantly in mirror-like reflective regions and underexposed areas where fringe patterns are unreliable or absent. Hard disk drives represent a particularly challenging test case for these limitations, exhibiting all of these problematic surface characteristics within a single assembly. Accurate 3D sensing of such components is critical for automated robotic disassembly in e-waste recycling, where valuable materials such as palladium, aluminum, and the rare earth metal neodymium remain largely unrecovered due to lack of recycling infrastructure. Recent zero-shot depth estimation models, while inaccurate for fine-scale, millimeter-level depth prediction, capture useful geometric priors. In this research, we present a multi-modal fusion approach that combines three data sources: sparse depth map computed from FPP, projector-illuminated grayscale image, and the relative depth map from the Depth Anything v2 Foundation Model. Our lightweight fusion network exploits the lower domain gap in geometric features compared to appearance features, enabling effective learning and sim-to-real transfer with limited synthetic and real-world training data. The network learns to predict dense depth in regions where FPP fails, which is then fused with the original sparse measurements to produce complete depth maps. We demonstrate that this approach achieves a mean absolute error and root mean square error of less than 2 mm on both synthetic and real-world test cases, and critically, achieves good reconstruction fidelity in the sparse regions, paving the way for fine-scale robotic disassembly while avoiding the need for extensive surface treatment or large-scale real-world data collection. Furthermore, our approach addresses the primary limitations of FPP on mirror-like reflective surfaces and underexposed regions within a single scan, and demonstrates a potential roadmap for industrial metrology of parts with similarly challenging optical properties.
The code for our multi-modal depth completion network, MMDC-Net, will be publicly available at https://github.com/badri999/MMDC-Net
条纹投影轮廓术(FPP)虽然能够在千赫兹速度下实现亚毫米精度,但在扫描具有复杂、异质材料特性的物体(包括镜面金属表面、镜面反射区域和吸收材料)时,会产生稀疏且不完整的深度图。这是由于测量失败主要是在镜面反射区域和欠暴露区域,其中条纹图案不可靠或不存在。对于这些限制,硬盘驱动器是一个特别具有挑战性的测试案例,它在一个组件中展示了所有这些有问题的表面特征。由于缺乏回收基础设施,钯、铝和稀土金属钕等有价值的材料在很大程度上仍未回收,因此对这些部件进行精确的3D传感对于电子垃圾回收中的自动机器人拆卸至关重要。最近的零射击深度估计模型,虽然不准确的精细尺度,毫米级深度预测,捕获有用的几何先验。在本研究中,我们提出了一种多模态融合方法,该方法结合了三个数据源:由FPP计算的稀疏深度图、投影照明的灰度图像和来自depth Anything v2基础模型的相对深度图。与外观特征相比,我们的轻量级融合网络利用了几何特征的低域差距,在有限的合成和真实世界的训练数据下实现了有效的学习和模拟到真实的迁移。该网络学习预测FPP失效区域的密集深度,然后将其与原始的稀疏测量结果融合以生成完整的深度图。我们证明,该方法在合成和真实世界的测试用例中实现了平均绝对误差和均方根误差小于2mm,并且至关重要的是,在稀疏区域实现了良好的重建保真度,为精细尺度机器人拆卸铺平了道路,同时避免了大量表面处理或大规模真实世界数据收集的需要。此外,我们的方法解决了FPP在单次扫描中对镜面反射表面和曝光不足区域的主要限制,并为具有类似光学特性的零件的工业计量展示了潜在的路线图。我们的多模式深度完井网络MMDC-Net的代码将在https://github.com/badri999/MMDC-Net上公开
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引用次数: 0
Stokes vector-based mamba for low-light color polarimetric image enhancement 斯托克斯矢量为基础的曼巴低光彩色偏振图像增强
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-06 DOI: 10.1016/j.optlaseng.2025.109595
Meiling Gao , Guangyu Zhao , Xuedong He , Xiaoyu Jin , Jin Duan , Huilin Jiang
To address the challenges of severe noise interference, insufficient global degradation capture, and artifact-prone enhancement in low-illumination division-of-focal-plane (DoFP) color polarimetric images, we propose StokesMamba, a dual-branch low-light color polarimetric image enhancement method based on Mamba and Stokes vector representations. First, a linear irradiance compensation is applied to the degraded Stokes vector, with a scaling factor γ used to enhance signal amplitude, mitigating feature masking caused by low signal-to-noise ratio (SNR). Subsequently, a dual-branch enhancement structure is designed based on the distinct physical properties of the Stokes components: the S0 branch combines adaptive intensity compression in the horizontal/vertical-intensity (HVI) color space with the denoising block (DB) module and intensity Mamba (IMamba) for artifact-free brightness enhancement, while the S1,2 branch leverage the gradient characteristics of differential images, incorporating the DB module and polarization Mamba (PMamba) to enhance edge and detail features. Experimental results demonstrate that our method outperforms existing approaches on the LLCP and PLIE datasets, achieving superior performance in terms of PSNR, SSIM, and visual quality.
为了解决低照度焦平面分割(DoFP)彩色偏振图像中存在的严重噪声干扰、全局退化捕获不足以及容易出现伪影增强等问题,我们提出了一种基于Mamba和Stokes矢量表示的双分支低照度彩色偏振图像增强方法StokesMamba。首先,对退化的Stokes矢量进行线性辐照度补偿,利用比例因子γ增强信号幅度,减轻低信噪比(SNR)引起的特征屏蔽。随后,基于Stokes组件的不同物理特性,设计了双支路增强结构:S0分支将水平/垂直强度(HVI)色彩空间中的自适应强度压缩与去噪块(DB)模块和强度曼巴(IMamba)相结合,以实现无伪影的亮度增强,而S1,2分支利用差分图像的梯度特性,结合DB模块和偏振曼巴(PMamba)来增强边缘和细节特征。实验结果表明,我们的方法在LLCP和PLIE数据集上优于现有的方法,在PSNR、SSIM和视觉质量方面都取得了优异的性能。
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引用次数: 0
Quantitative raman thermometry and N2+ detection in a non-transferred plasma torch 非转移等离子体炬中定量拉曼测温和N2+检测
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-06 DOI: 10.1016/j.optlaseng.2025.109583
Sebastian Nilsson , Aurélien Ivanoff , Alsu Zubairova , Likitha Siddanathi , Alexey Sepman , Henrik Wiinikka , Lars-Göran Westerberg , Marcus Aldén , Christian Brackmann , Andreas Ehn
Quantitative laser-based diagnostics like Raman spectroscopy are essential for studying high-temperature processes, but their application in intensely luminous and transient environments such as plasma torches is severely limited by overwhelming background emission. This study focuses on the quantitative thermometry of a 7 kW atmospheric air plasma jet, an environment where such measurements are notoriously difficult. To enable these measurements, a Polarization Lock-In Filtering (PLF) Raman technique is used to suppress the intense and fluctuating plasma background. The method successfully yields high-quality N2 ro-vibrational spectra along the jet’s central axis. Model-based fitting of these spectra produces a detailed axial temperature profile, showing a decay from over 3700 K near the nozzle. Furthermore, the high signal quality enabled the detection of singly ionized nitrogen (N2+) in the plasma core, providing direct evidence of its ionized state. These results represent the first application of PLF for thermometry in a plasma torch and provide critical experimental data for validating magnetohydrodynamic simulations.
像拉曼光谱这样的定量激光诊断对于研究高温过程至关重要,但它们在强光和瞬态环境(如等离子体火炬)中的应用受到压倒性背景辐射的严重限制。这项研究的重点是对一个7千瓦的大气等离子体射流进行定量测温,在这个环境中,这种测量是出了名的困难。为了实现这些测量,偏振锁相滤波(PLF)拉曼技术被用来抑制强烈和波动的等离子体背景。该方法沿喷流中轴成功地获得了高质量的N2反振动光谱。这些光谱的基于模型的拟合产生了详细的轴向温度分布,显示了喷嘴附近超过3700 K的衰减。此外,高信号质量使等离子体核心的单电离氮(N2+)检测成为可能,为其电离状态提供了直接证据。这些结果代表了PLF在等离子炬测温中的首次应用,并为验证磁流体动力学模拟提供了关键的实验数据。
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引用次数: 0
Spectrum aggregation method for spectral mismatch in high-speed MEMS micromirror scanning FMCW LiDAR 高速MEMS微镜扫描FMCW激光雷达中光谱失配的频谱聚合方法
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-06 DOI: 10.1016/j.optlaseng.2025.109567
Fu Zhu , Chen Wang , Guixiang Chen , Wenwen Zhang , Weiji He , Qian Chen
We propose a spectrum aggregation method to address the inherent incompatibility between resonant MEMS micromirrors and FMCW LiDAR systems. This issue caused by the mismatch between high-speed resonant scanning and the stable sampling requirement of FMCW signals. The mismatch leads to spectral broadening and depth estimation precision degrading, limiting the application of MEMS-based scanners in FMCW LiDAR. Our spectrum aggregation method involves a dynamic model of the MEMS micromirror paired with a signal-level compensation algorithm, enabling equivalent uniform sampling within each chirp cycle while maintaining the resonant scanning mechanism. This solution effectively mitigates spectral distortion and enhances scanning stability, achieving a uniform angular resolution of 0.125 × 0.18 across a 25 × 36 field of view. The method ensures high-depth estimation accuracy, with precision dropping from 1.34 mm in a single-point system without scanning devices to 1.5 mm. This approach provides a practical, cost-effective solution for high-precision FMCW LiDAR, making it suitable for applications in autonomous robotics, mobile sensing, and intelligent environmental perception.
我们提出了一种频谱聚合方法来解决谐振MEMS微镜与FMCW激光雷达系统之间固有的不兼容性。这是由于高速谐振扫描与FMCW信号的稳定采样要求不匹配造成的。这种不匹配导致了光谱加宽和深度估计精度的降低,限制了基于mems的扫描仪在FMCW激光雷达中的应用。我们的频谱聚合方法包括MEMS微镜的动态模型与信号级补偿算法配对,在每个啁啾周期内实现等效均匀采样,同时保持谐振扫描机制。这种方法有效地减轻了光谱畸变,增强了扫描的稳定性,在25° × 36°视场范围内实现了0.125° × 0.18°的均匀角分辨率。该方法保证了较高的深度估计精度,精度从无扫描设备的单点系统的1.34 mm下降到1.5 mm。这种方法为高精度FMCW激光雷达提供了一种实用、经济的解决方案,适用于自主机器人、移动传感和智能环境感知等领域。
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引用次数: 0
A dual-camera coded aperture snapshot spectral imager using a reflective mask 使用反射掩模的双摄像头编码孔径快照光谱成像仪
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-01-02 DOI: 10.1016/j.optlaseng.2025.109600
Xinyu Liu, Liangcai Cao
The coded aperture snapshot spectral imager (CASSI) acquires compressive measurements of spectral images in a single exposure, which are then reconstructed into full data cubes using compressive sensing algorithms. However, the reconstruction quality is limited by the severely underdetermined mechanism in the compressive measurements. In this work, a dual-camera CASSI configuration using a reflective mask is proposed, enabling simultaneous capture of a grayscale image alongside the encoded spectral measurement. Unlike available dual-camera CASSI, our arrangement ensures pixel-level alignment and effective data fusion between the two arms. A multi-scale fusion network (MSF-Net) is developed to integrate the high-spectral-resolution CASSI measurement and the high-spatial-resolution grayscale image. The proposed reflective dual-camera CASSI (RDC-CASSI) with the MSF-Net offers efficient acquisition and reconstruction of spectral image cubes with high-spatial and high-spectral resolution. The peak signal-to-noise ratio and structural similarity index measure of the RDC-CASSI are 6.96% and 1.16% higher than those of the dual-disperser CASSI, respectively. The reconstructed spectrum of the standard color chart closely matches the ground truth from a commercial spectroradiometer, with an average mean squared error of 0.007. The improvements demonstrate a practical and scalable solution for real-time, high-quality spectral imaging.
编码孔径快照光谱成像仪(CASSI)在单次曝光中获取光谱图像的压缩测量值,然后使用压缩感知算法将其重建为完整的数据立方体。然而,在压缩测量中,重构的质量受到严重不确定机制的限制。在这项工作中,提出了一种使用反射掩模的双摄像头CASSI配置,可以在编码光谱测量的同时捕获灰度图像。与现有的双摄像头CASSI不同,我们的安排确保了两个臂之间的像素级对齐和有效的数据融合。提出了一种多尺度融合网络(MSF-Net),将高光谱分辨率CASSI测量数据与高空间分辨率灰度图像相结合。基于MSF-Net的反射双相机CASSI (RDC-CASSI)能够实现高空间和高光谱分辨率的光谱图像立方体的高效采集和重建。RDC-CASSI的峰值信噪比和结构相似度指标分别比双分散剂CASSI高6.96%和1.16%。重建的标准色图光谱与商用光谱辐射计的地面真实值非常接近,平均均方误差为0.007。这些改进为实时、高质量的光谱成像提供了实用且可扩展的解决方案。
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引用次数: 0
期刊
Optics and Lasers in Engineering
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