Weighting iterative Fourier transform algorithm of the kinoform synthesis.

Area of Science:

• Optics and Photonics
• Digital Holography
• Computational Imaging

Background:

• Traditional kinoform generation typically employs a single phase filter in iterative calculations.
• Controlling both amplitude and phase during kinoform synthesis is crucial for improved reconstruction fidelity.

Purpose of the Study:

• To develop and evaluate a novel iterative method for kinoform calculation using two object-dependent filters.
• To investigate the impact of an amplitude filter, alongside a phase filter, on the iterative synthesis process.

Main Methods:

• Implementation of an iterative algorithm incorporating both an amplitude filter and a phase filter in the object plane.
• The amplitude filter utilizes variable weight coefficients to dynamically control the input object's amplitude during iterations.
• Computer-based simulations were conducted to validate the proposed method's performance.

Main Results:

• The proposed two-filter method demonstrates advantages over conventional single-filter approaches.
• Computer experiments confirm the efficacy and benefits of the dual-filter iterative calculation.
• The method exhibits particularly high efficiency when applied to binary objects.

Conclusions:

• The integration of an object-dependent amplitude filter alongside a phase filter offers a significant advancement in iterative kinoform calculation.
• This enhanced iterative approach provides superior control over the reconstruction process.
• The developed method is especially well-suited and efficient for generating kinoforms of binary objects.