论文标题

Shack-Hartmann传感器作为具有相位多样性的成像系统

Shack-Hartmann sensor as an imaging system with a phase diversity

论文作者

Soloviev, Oleg, Nguyen, Hieu Thao, Bezzubik, Vitalii, Belashenkov, Nickolai, Vdovin, Gleb, Verhaegen, Michel

论文摘要

从Shack-Hartmann传感器的原始数据中进行的波前重建方法的常规方法使用焦点偏移并丢弃有关波前的高频信息。基于回路的方法将Hartmann模式视为衍射图像,并使用Rayleigh-Sommerfeld传播以更高的精度和分辨率估算波前。在这封信中,我们通过将Hartmann模式视为具有特殊类型的相位多样性的一般成像系统的点传播功能,提出了一种基于回相的重建的新方法。该模型不仅允许使用任何相位检索算法来重建波前,还可以分析基于回归的方法的局限性。我们证明了这种方法在模拟和实验数据上的有效性。

Conventional methods of wavefront reconstruction from the raw data of the Shack-Hartmann sensor use the focal spot shifts and discard the high-frequency information about the wavefront. Phase-retrieval-based methods treat the Hartmann pattern as the diffraction image and use the Rayleigh-Sommerfeld propagation to estimate the wavefront with greater accuracy and resolution. In this Letter, we propose a novel approach to the phase-retrieval-based reconstruction by considering the Hartmann pattern as a point-spread function of a general imaging system with an introduced phase diversity of a special type. This model allows one not only to use any phase retrieval algorithm to reconstruct the wavefront but also to analyse the limitations of the phase-retrieval-based methods. We demonstrate the validity of this approach both on the simulated and experimental data.

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