光学
稳健性(进化)
超分辨率
图像分辨率
衍射
物理
点扩散函数
计算机科学
投影(关系代数)
空间频率
瑞利散射
图像质量
迭代重建
模式(计算机接口)
时间分辨率
分辨率(逻辑)
摄影术
光学成像
图像处理
非相干散射
极限(数学)
显微镜
切趾
点目标
点(几何)
相干衍射成像
自适应光学
计算机视觉
人工智能
作者
Qiushuang Lian,Cilong Zhang,谭峭峰 Tan Qiaofeng,Jun Zhu,Liangcai Cao
出处
期刊:Optica
[Optica Publishing Group]
日期:2026-04-17
卷期号:13 (5): 876-876
标识
DOI:10.1364/optica.584741
摘要
The resolution of optical imaging is limited by diffraction. Hermite–Gaussian imaging (HGI) surpasses the diffraction limit via a quantum-inspired approach called spatial-mode demultiplexing. However, prior heterodyne-based implementations rely on a phase-locked local oscillator to project the spatial modes and are therefore limited to temporally coherent imaging. We present an implementation of diffraction-based Hermite–Gaussian imaging (D-HGI) that allows for HGI of temporally incoherent sources. D-HGI performs local-oscillator-free mode projection using a single phase-only element and estimates mode intensities by integrating the intensities in the ±1st diffraction orders, enabled by a point-spread-function-aware mask design. Experiments on point source localization verify the performance of the mode projection method. For HGI of full two-dimensional objects, we replace prior neural networks with a calibration-driven reconstructor, improving robustness and interpretability. Experimentally, D-HGI achieves an optical resolution of 0.31 λ /NA in an incoherent imaging system, demonstrating passive superresolution beyond the Rayleigh limit. The proposed approach paves a practical route to passive incoherent superresolution in microscopy and astronomy.
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