Novel Predictive Search Algorithm for Phase Holography
Peter J. Christopher, Youchao Wang, Timothy D. Wilkinson

TL;DR
This paper introduces Holographic Predictive Search, a new algorithm for generating high-quality phase holograms that outperforms traditional methods in quality and convergence speed, especially for phase-sensitive devices.
Contribution
The paper presents a novel predictive search algorithm that improves hologram quality and convergence speed over existing methods like DS and SA for phase holography.
Findings
5x improvement in hologram quality
Up to 10x faster convergence
Effective for phase-sensitive devices
Abstract
We present a novel algorithm for generating high quality holograms for Computer Generated Holography - Holographic Predictive Search. This approach is presented as an alternative to traditional Holographic Search Algorithms such as Direct Search (DS) and Simulated Annealing (SA). We first introduce the current search based methods and then introduce an analytical model of the underlying Fourier elements. This is used to make prescient judgements regarding the next iteration of the algorithm. This new approach is developed for the case of phase modulating devices with phase sensitive reconstructions. When compared to conventional iterative approaches such as DS and SA on a multi-phase device, Holographic Predictive Search offered improvements in quality of 5x as well up to 10x improvements in convergence time. This is at the cost of an increased iteration overhead.
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