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Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
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精确的两步随机相位检索方法,没有预先过,基于超圆配合.

Ziwen Li, Hubing Du, Leijie Feng

    Optics express
    |November 22, 2024
    PubMed
    概括

    我们介绍了一种新的超圆配合算法,用于准确的相位检索. 这种双方法通过提炼背景光而提高精度,而无需复杂的代或预先过.

    科学领域:

    • 光学计量学是指光学计量学.
    • 图像处理 图像处理
    • 阶段检索算法 阶段检索算法

    背景情况:

    • 精确的相位检索对于定量相位成像至关重要.
    • 传统方法通常需要多个,并且可能对背景噪音敏感.
    • 现有的算法可能涉及复杂的代或预过步骤.

    研究的目的:

    • 开发一个高精度,两相位移算法,以提高相位检索精度.
    • 为了有效地减轻残留的背景噪声.
    • 提供简单,灵活和准确的相位检索解决方案.

    主要方法:

    • 一种新的超圆配合方法与格拉姆-施密特或thonormalization结合.
    • 四边形边缘图案的构建.
    • 使用超圆配合重建相位图和改进背景光.

    主要成果:

    • 在各种场景中,显著改善了调节效果.
    • 在没有最小平方代或预先过的情况下有效地减轻残余背景.
    • 通过加权最小方程和参数调整精确的相位估计.

    结论:

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    • 拟议的超圆配合算法提供了一个简单,灵活和准确的相位检索方法.
    • 它提供了两次拍摄阶段重建能力,提高了效率.
    • 该方法在处理背景噪声和提高相位估计精度方面表现出卓越的性能.