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    Accurate wavefront reconstruction requires precise 3D intensity position correction in phase retrieval. This study introduces a cross-iteration optimization method for robust and precise correction, enhancing wavefront measurement and phase imaging.

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    Area of Science:

    • Optical Engineering
    • Computational Imaging

    Background:

    • Wavefront reconstruction accuracy in phase retrieval is limited by parameter mismatches between optical systems and models.
    • Current methods often separate lateral and axial position corrections, potentially impacting overall accuracy.

    Purpose of the Study:

    • To propose and validate a novel three-dimensional (3D) intensity position correction method for phase diverse phase retrieval.
    • To enhance the accuracy and robustness of wavefront reconstruction by integrating 3D position correction within the iterative process.

    Main Methods:

    • A cross-iteration nonlinear optimization strategy is employed for 3D intensity position correction.
    • Intensity position is initially optimized using a coarse method, followed by cross-optimization with exact methods during iterative wavefront reconstruction.
    • Analytic gradients for the 3D intensity position are derived to facilitate optimization.

    Main Results:

    • The proposed method achieves accurate and robust correction of 3D intensity positions.
    • Wavefront reconstruction accuracy is significantly improved by avoiding interference from incomplete position correction.
    • Numerical and experimental verifications confirm the method's effectiveness.

    Conclusions:

    • The developed cross-iteration optimization strategy effectively addresses parameter mismatches in phase retrieval.
    • The method provides a robust solution for accurate intensity position correction and wavefront reconstruction.
    • This technique is valuable for advanced wavefront measurement and phase imaging applications.