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    Area of Science:

    • Optics
    • Image Processing
    • Computational Physics

    Background:

    • Phase retrieval is crucial for reconstructing optical wavefronts.
    • The Gerchberg-Saxton algorithm is a common iterative method for phase retrieval.
    • Accurate phase information is essential for various optical applications.

    Purpose of the Study:

    • To apply the Gerchberg-Saxton algorithm for optical wave phase retrieval.
    • To evaluate the algorithm's convergence with provided magnitude information.
    • To compare simulation results with experimental phase retrieval.

    Main Methods:

    • Utilized the Gerchberg-Saxton algorithm for iterative phase retrieval.
    • Performed computer simulations providing magnitude information in image and Fourier domains.
    • Employed charge-coupled-device (CCD) sensors for quasi-magnitude measurements in an experimental setup.

    Main Results:

    • The Gerchberg-Saxton algorithm demonstrated convergence to the correct solution with sufficient magnitude data.
    • Experimental phase retrieval results closely matched simulation predictions.
    • Accurate phase retrieval enabled the generation of schlieren images.

    Conclusions:

    • The Gerchberg-Saxton algorithm is effective for phase retrieval from optical waves.
    • CCD sensor measurements provide accurate quasi-magnitude data for phase retrieval.
    • This method facilitates the reconstruction of phase objects and generation of schlieren images.