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Wirtinger Gradient Based Optimization for High-Quality Computer Generated Holography

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Abstract

Holography is perhaps the most promising technology to achieve wide field of view compact eye-glasses style near-eye displays. However, the digital hologram computation algorithms are still not perfect and resort to heuristic encoding or iterative methods relying on varying relaxations. In this paper, we deviate from such heuristic solutions to holographic phase retrieval but instead rely on formal optimization that is enabled by complex Wirtinger gradients. We pose the entire hologram computation forward model as a differentiable forward model and formulate a quadratic loss function that is solved via firstorder optimization methods. Using this framework, we achieve holographic reconstructions with an order of magnitude improved image quality, both in simulation and on an experimental prototype.

© 2020 The Author(s)

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More Like This
High-quality phase-only holographic projection based on bandwidth constraint optimization

Lizhi Chen, Hao Zhang, Liangcai Cao, and Guofan Jin
DTu7B.2 Digital Holography and Three-Dimensional Imaging (DH) 2021

Gradient-based Optimization of Time-Multiplexed Binary Computer-Generated Holograms by Digital Mirror Device

Kenta Yamamoto and Yoichi Ochiai
DTh7C.1 Digital Holography and Three-Dimensional Imaging (DH) 2021

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Yifan (Evan) Peng, Suyeon Choi, Nitish Padmanaban, and Gordon Wetzstein
FM4B.4 Frontiers in Optics (FiO) 2020

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