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Dynamic opto-mechanical integrated modeling and simulation of high-resolution space telescopes 高分辨率空间望远镜动态光机集成建模与仿真
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-06-01 Epub Date: 2026-01-19 DOI: 10.1016/j.optlaseng.2026.109626
Rifan Chen , Zongxuan Li , Shuping Tao , Qing Luo , Youhan Peng , Shuhui Ren , Zhiyuan Gu
To quantitatively evaluate the temporal variations of on-orbit imaging quality of space telescopes under dynamic disturbances, this study first establishes the structural dynamics state-space model of the telescope and validates its accuracy through comparative analysis with traditional finite element methods. The results demonstrate that the mean relative errors are 0.96 % for frequency response analysis and 1.22 % for transient response analysis. Subsequently, the instantaneous rigid-body displacements of the mirror surfaces are fitted based on the transient response results, with the mean relative error between the fitting results and those from the Sigfit being <2 %, thereby validating the accuracy of the dynamic response solving and rigid-body displacement fitting. Then, the offset of the image point is used to describe the dynamic LOS error of the optical system. Based on the opto-mechanical coupled ray-tracing theory, real-time reconstruction of the opto-mechanical system and ray-tracing analysis are performed, revealing that the maximum relative displacement of image points during imaging is 0.53 μm (<1/6 of the pixel). Quantitative assessment reveals that the mean relative errors for image point offsets in the X and Y directions compared with Zemax simulation are 2.53 % and 3.14 %, respectively. Furthermore, the edge method was used to calculate the MTF of the imaging system under the sole influence of micro-vibrations, which was 0.9833@143 lp/mm. This indicates that the actual impact of micro-vibrations on the overall imaging quality of the system is small. The developed framework enables accurate micro-vibration simulation and provides theoretical guidance for the optimization of vibration isolation of space telescopes.
为了定量评价空间望远镜在轨成像质量在动力扰动下的时间变化,本研究首先建立了空间望远镜的结构动力学状态空间模型,并通过与传统有限元方法的对比分析验证了模型的准确性。结果表明,频率响应分析的平均相对误差为0.96%,瞬态响应分析的平均相对误差为1.22%。随后,根据瞬态响应结果拟合镜面的瞬时刚体位移,拟合结果与Sigfit拟合结果的平均相对误差为2%,从而验证了动态响应求解和刚体位移拟合的准确性。然后,利用像点的偏移量来描述光学系统的动态LOS误差。基于光机耦合光线追迹理论,对光机系统进行实时重建和光线追迹分析,发现成像过程中图像点的最大相对位移为0.53 μm (<;1/6像素)。定量评估表明,与Zemax模拟相比,X和Y方向图像点偏移的平均相对误差分别为2.53%和3.14%。利用边缘法计算了单微振动影响下成像系统的MTF,其MTF为0.9833@143 lp/mm。这表明微振动对系统整体成像质量的实际影响很小。该框架能够实现精确的微振动仿真,为空间望远镜的隔振优化提供理论指导。
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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 : 2026-05-01 Epub 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
Efficient dual-domain iterative algorithm for computed laminography 计算机层析成像的高效双域迭代算法
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-05-01 Epub Date: 2026-01-10 DOI: 10.1016/j.optlaseng.2025.109590
Pengxiang Ji, Tian He, Haihang Zhao, Jing Zou
X-ray computed laminography (CL) has emerged as a highly effective technique for non-destructive testing of plate-like samples. However, it is challenging to strike an optimal balance between image quality and computation speed due to the intractable superimposed artifacts. In this paper, a novel strategy based on Fourier information completeness is developed for high-speed de-artifacting reconstruction of CL. We first demonstrate that the Fourier defective volume of CL is delineated by multiple ellipses that share a common focus. Guided by this geometric insight, a resampling algorithm is designed to maximally restore the Fourier information of cone-beam CL projections. The restored data is then incorporated into an efficient dual-domain framework, and complemented by L0 norm regularization in image domain. Numerical experiments demonstrate that the proposed method has achieved not only comparable image quality to that of conventional SART-based algorithm, but also an efficiency level approximately 32 times higher. The proposed elliptical model and resampling algorithm provide a new interpretation of cone-beam CL data, and hold great promise for real-time reconstruction in industrial applications.
x射线计算机层析成像(CL)已成为板状样品无损检测的一种高效技术。然而,由于难以处理的叠加伪影,在图像质量和计算速度之间取得最佳平衡是一项挑战。本文提出了一种基于傅里叶信息完备性的高速去伪重建策略。我们首先证明了CL的傅立叶缺陷体积是由多个具有共同焦点的椭圆所描绘的。在这种几何洞察力的指导下,设计了一种重采样算法,以最大限度地恢复锥束CL投影的傅里叶信息。然后将恢复后的数据整合到有效的双域框架中,并在图像域进行L0范数正则化。数值实验表明,该方法不仅获得了与传统基于sart算法相当的图像质量,而且效率提高了约32倍。所提出的椭圆模型和重采样算法为锥束CL数据提供了新的解释,在工业应用中的实时重建具有很大的前景。
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引用次数: 0
Spatial mode decomposition for fiber lasers 光纤激光器的空间模分解
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-05-01 Epub Date: 2026-01-08 DOI: 10.1016/j.optlaseng.2026.109603
Junyu Chai , Siye Zhao , Kun Zhang , Ang Li , Chengzhi Wu
With the rapid advancement of fiber laser technology, challenges including modal competition, intermodal coupling, and differential mode group delay (DMGD) in multimode and few-mode fibers (FMFs) have become prominent, especially under high-power operation and in mode-division multiplexing systems. Additionally, generating higher-order modes (HOMs) for specialized applications (e.g., structured light fields) poses technical obstacles. To address these issues, mode analysis methodologies have been developed to characterize fiber lasers and guide system improvements. This work presents a comprehensive review of mode decomposition (MD) for fiber laser systems, encompassing relevant investigations conducted globally over the past decade. It includes an elaboration of the theoretical foundations of MD, an overview of various MD techniques, and a discussion of their key applications and future developments.
随着光纤激光技术的快速发展,多模和少模光纤中的模态竞争、多模耦合和差模群延迟(DMGD)等问题日益突出,特别是在高功率工作和模分复用系统中。此外,为特殊应用(如结构光场)生成高阶模式(HOMs)也存在技术障碍。为了解决这些问题,模式分析方法已经发展到表征光纤激光器和制导系统的改进。本文对光纤激光系统的模式分解(MD)进行了全面的综述,包括过去十年来在全球范围内进行的相关研究。它包括MD的理论基础的阐述,各种MD技术的概述,并讨论其关键应用和未来的发展。
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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 : 2026-05-01 Epub 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
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 : 2026-05-01 Epub 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
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 : 2026-05-01 Epub 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
Hi-ILT: A hybrid End-to-End framework of lightweight hierarchical VAE and physics-Guided ILT for inverse lithography technology Hi-ILT:用于反光刻技术的轻量级分层VAE和物理引导ILT的混合端到端框架
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-05-01 Epub Date: 2026-01-13 DOI: 10.1016/j.optlaseng.2026.109621
Hui Xu , Tao Wang , Ziqiang Zhao , Ruijun Ma , Xiaoqing Wen , Huaguo Liang
Optical Proximity Correction (OPC) is a core technology for compensating lithographic diffraction effects in advanced manufacturing processes. Although Inverse Lithography Technology (ILT) enables high-precision mask optimization, it faces challenges in balancing mask printability and optimization efficiency due to three key problems: (1) low-quality initial solutions, (2) high computational overhead, and (3) the inability of pure data-driven methods to accurately model Sub-Resolution Assist Features (SRAF). To address these problems, this paper proposes Hi-ILT, an end-to-end OPC framework that integrates lightweight deep learning and physical ILT correction. A lightweight Convolutional Neural Network (CNN) first generates a high-precision initial mask at low resolution, with a Binary-Straight-Through Estimator (BSTE) resolving binarization gradient vanishing to stabilize training and achieve fast convergence. Subsequently, a gradient descent based ILT correction layer performs fine-grained optimization of mask details (especially SRAF) at high resolution and models process variations. Experiments on 32 nm node M1 layouts (ICCAD 2013 benchmark) and 10 large-scale datasets demonstrate that Hi-ILT outperforms state-of-the-art methods. Compared to deep learning-based ILT methods, it reduces L2 error by up to 30.1%, Process Variation Band (PVB) by up to 19.8%, and Edge Placement Error (EPE) violations by up to 73.4%; compared to gradient descent-based ILT methods, it shortens end-to-end Turn Around Time (TAT) by up to 69.4% while maintaining higher precision. Hi-ILT effectively achieves a balance between high printability and efficient optimization, making it suitable for advanced lithography requirements.
光学接近校正(OPC)是先进制造工艺中补偿光刻衍射效应的核心技术。虽然逆光刻技术(ILT)可以实现高精度掩模优化,但由于三个关键问题,它在平衡掩模可打印性和优化效率方面面临挑战:(1)低质量的初始解,(2)高计算开销,(3)纯数据驱动方法无法准确建模亚分辨率辅助特征(SRAF)。为了解决这些问题,本文提出了Hi-ILT,这是一个集成了轻量级深度学习和物理ILT校正的端到端OPC框架。轻量级卷积神经网络(CNN)首先在低分辨率下生成高精度初始掩码,利用二值化梯度估计器(BSTE)解决二值化梯度消失,稳定训练,实现快速收敛。随后,基于梯度下降的ILT校正层在高分辨率下对掩模细节(特别是SRAF)进行细粒度优化,并模拟过程变化。在32个 nm节点M1布局(ICCAD 2013基准)和10个大规模数据集上的实验表明,Hi-ILT优于最先进的方法。与基于深度学习的ILT方法相比,它将L2误差降低了30.1%,将过程变化带(PVB)降低了19.8%,将边缘放置误差(EPE)违规降低了73.4%;与基于梯度下降的ILT方法相比,它将端到端周转时间(TAT)缩短了69.4%,同时保持了更高的精度。Hi-ILT有效地实现了高印刷性和高效优化之间的平衡,使其适合高级光刻要求。
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引用次数: 0
DI-FP: Digital incoherent Fourier ptychography for far-field imaging 用于远场成像的数字非相干傅立叶平面摄影
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-05-01 Epub Date: 2026-01-15 DOI: 10.1016/j.optlaseng.2026.109601
Jinghao Xu , Yizheng Liao , Tianci Feng , Siyuan Wang , Duan Luo , An Pan
This paper proposes a novel Digital Incoherent Fourier Ptychography (DI-FP) technique that effectively addresses the speckle noise challenge in long-range Fourier ptychographic imaging through an innovative batch gradient summation mechanism. Compared with conventional methods, this study makes several key contributions: First, we develop a feature-domain batch gradient summation algorithm that exploits the randomness of multi-angle speckles to achieve automatic noise cancellation without requiring additional preprocessing. Second, we construct a new reconstruction framework integrating incoherent imaging with feature extraction, which significantly enhances image contrast while maintaining resolution. Experimental results demonstrate that for imaging at distances of 12.8m and 65m, our method improves reconstruction quality (PSNR) from 5.42dB (conventional method) to 13.98dB, substantially reduces speckle contrast, and decreases single reconstruction time from 150s to 44s. This work provides a new solution for long-range high-resolution optical imaging that combines excellent anti-noise performance with computational efficiency, showing significant application potential in remote sensing monitoring and target recognition fields.
本文提出了一种新的数字非相干傅立叶平面成像(DI-FP)技术,该技术通过一种创新的批梯度求和机制,有效地解决了长程傅立叶平面成像中的散斑噪声问题。与传统方法相比,本研究做出了以下几个关键贡献:首先,我们开发了一种特征域批量梯度求和算法,该算法利用多角度散斑的随机性,在不需要额外预处理的情况下实现自动降噪。其次,构建了非相干成像与特征提取相结合的重构框架,在保持分辨率的同时显著增强了图像对比度;实验结果表明,对于距离为12.8m和65m的成像,该方法将重建质量(PSNR)从传统方法的5.42dB提高到13.98dB,显著降低了散斑对比度,并将单次重建时间从150秒缩短到44秒。该研究为远程高分辨率光学成像提供了一种新的解决方案,该解决方案结合了优异的抗噪声性能和计算效率,在遥感监测和目标识别领域具有重要的应用潜力。
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引用次数: 0
Monolithic expandable-FOV metalens enabled by radially gradient-tilted meta-atoms 由径向梯度倾斜的元原子实现的单片可扩展视场超透镜
IF 3.7 2区 工程技术 Q2 OPTICS Pub Date : 2026-05-01 Epub Date: 2026-01-10 DOI: 10.1016/j.optlaseng.2026.109615
Feiyang Zhang , Guoxia Han , Yihan Tian , Yanbin Ma , Xianghua Yu , Xiaolong Liu
Metalens, as the most promising and applicable emerging optical device, has long been constrained by the limited field-of-view (FOV). Recent studies based on phase engineering or multi-layer strategies have made some progress indeed, but they all rely on upright meta-atoms. So, we can’t help considering, if tilted meta-atoms could represent a promising yet underexplored approach for enhancing the FOV? In this work, an interesting concept of gradient-tilted meta-atoms is provided and two wide field-of-view (WFOV) metalenses with different tilt configurations for different requirements of efficiency and precision are designed based on this approach, respectively. The results demonstrate that a 120° FOV and diffraction-limited focusing can be achieved with these two configurations—PDTM can attain relative high energy throughput via the optimization of the position-dependent tilted-meta-atoms while ADTM enhances the imaging precision with aperture-dependent tilted-meta-atoms. Exhilaratingly, the FOV of the proposed metalens can be further expanded by tuning the tilt angle configurations of meta-atoms and the metalens diameter. This work not only presents a new design framework for high-performance meta-optics but also opens avenues for compact imaging systems in VR, surveillance, and biomedical devices.
超透镜作为最具发展前景和应用前景的新兴光学器件,长期以来受到视场(FOV)的限制。近年来基于相位工程或多层策略的研究确实取得了一些进展,但它们都依赖于直立元原子。所以,我们不禁想到,倾斜的元原子是否代表了一种有希望但尚未得到充分探索的增强视场的方法?本文提出了一个有趣的梯度倾斜元原子的概念,并基于该方法设计了两种具有不同倾斜构型的宽视场超透镜,以满足不同的效率和精度要求。结果表明,这两种结构均可实现120°视场和衍射限制聚焦,其中pdtm通过优化位置相关的倾斜元原子获得较高的能量通量,而ADTM通过优化孔径相关的倾斜元原子提高了成像精度。令人兴奋的是,通过调整元原子的倾角构型和超构透镜直径,可以进一步扩大超构透镜的视场。这项工作不仅提出了高性能元光学的新设计框架,而且为VR,监视和生物医学设备中的紧凑型成像系统开辟了道路。
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Optics and Lasers in Engineering
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