Wavefront-driven optimization for high-quality hologram generation

doi:10.1016/j.optlaseng.2026.109634

Wavefront-driven optimization for high-quality hologram generation

2026-01-23

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DOI：10.1016/j.optlaseng.2026.109634

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• In this paper, a method based on wavefront-driven indirect optimization for generating high-quality amplitude-only holograms is proposed. • This method optimizes virtual object wavefront to achieve faster convergence, higher imaging quality, and superior robustness compared to conventional direct gradient descent and modified GS methods. • This optimization framework is also extended to multi-plane and tilted-plane holography via angular-spectrum and spectrum remapping. • A model-based neural network within the framework also shows fast convergence while training for real-time, high-quality hologram generation.

Wavefront-driven optimization for high-quality hologram generation

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