A Fast DST-Based Gerchberg-Saxton Algorithm for Binary-Phase Holography

Wetherfield, Benjamin; Kadis, Andrew; Wilkinson, Timothy D.

doi:10.1364/dh.2021.dw5e.6

Cited by 2 publications

(1 citation statement)

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“…The key research challenge in CGH is how to compute the set of holographic fringes which correspond to a desired wavefront. There exists a large number of established algorithmic approaches to solve this problem, such as direct-search [18], phase-retrieval algorithms [19,20], simulated-annealing [21], noise reduction time-multiplexing [22], double-phase methods [23], hardware feedback [24,25], frequency-domain approaches [26] and formal optimisation [27]. The exact choice depends on the specific optical requirements, display device type selected and the specific computational hardware available [28,29,30].…”

Section: Introductionmentioning

confidence: 99%

Effect of Bit-depth in Stochastic Gradient Descent Performance for Phase-only Computer-generated Holography Displays

Kadis¹,

Wetherfield²,

Sha³

et al. 2022

lim

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SGD (Stochastic gradient descent) is an emerging technique for achieving high-fidelity projected images in CGH (computergenerated holography) display systems. For real-world applications, the devices to display the corresponding holographic fringes have limited bit-depth depending on the specific display technology employed. SGD performance is adversely affected by this limitation and in this piece of work we quantitatively compare the impact on algorithmic performance based on different bit-depths by developing our own algorithm, Q-SGD (Quantised-SGD). The choice of modulation device is a key decision in the design of a given holographic display systems and the research goal here is to better inform the selection and application of individual display technologies.

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