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Performance enhancement of deformable mirror model-based surface reconstruction in shift-rotation absolute testing.

Renhu Liu, Wenhui Deng, Baojian Ji

    Applied Optics
    |March 17, 2026
    PubMed
    Summary

    We developed a new data compression method for deformable mirror (DM) surface reconstruction in shift-rotation absolute testing. This technique improves accuracy and efficiency, overcoming limitations of existing methods.

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    Area of Science:

    • Optical Engineering
    • Metrology
    • Surface Metrology

    Background:

    • Deformable mirror (DM) model-based surface reconstruction balances accuracy and efficiency for shift-rotation absolute measurement.
    • Existing data reduction techniques in DM algorithms have practical limitations due to computational complexity.

    Purpose of the Study:

    • To introduce a novel data compression method for DM model-based surface reconstruction.
    • To enhance the accuracy and efficiency of shift-rotation absolute testing using DM models.

    Main Methods:

    • A data compression method based on uniform sampling is proposed.
    • The method independently processes differential data from shift-rotation tests.
    • This ensures strong constraints on solution variables while achieving data compression.

    Main Results:

    • Simulations show superior accuracy, efficiency, and robustness compared to existing DM model-based reconstruction algorithms.
    • The proposed method demonstrates excellent comprehensive performance.

    Conclusions:

    • The uniform sampling data compression method effectively assists DM model-based surface reconstruction.
    • The approach is feasible and advantageous for shift-rotation absolute testing, confirmed by simulations and experiments.