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Related Experiment Video

Updated: Oct 18, 2025

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

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Published on: January 28, 2019

Optimization of computer-generated holograms featuring phase randomness control.

Dongheon Yoo, Youngjin Jo, Seung-Woo Nam

|October 1, 2021

Summary

This summary is machine-generated.

We developed a computer-generated hologram (CGH) optimization method to control phase randomness, improving holographic display performance. This technique enhances eyebox size and depth of field for near-eye applications.

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Last Updated: Oct 18, 2025

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Area of Science:

Optics and Photonics
Computer Vision
Display Technology

Background:

Holographic near-eye displays (NEDs) are crucial for immersive experiences.
The quality of reconstructed images in NEDs is highly sensitive to phase randomness.
Existing methods lack precise control over phase randomness, limiting performance.

Purpose of the Study:

To introduce a novel computer-generated hologram (CGH) optimization technique.
To enable control over the randomness of the reconstructed phase in holographic displays.
To improve the eyebox size and depth of field in holographic near-eye displays.

Main Methods:

Synthesizing CGH by summing two terms derived from the target scene with random phase.
Utilizing a weighting pattern as an optimization variable to incorporate random phase during CGH synthesis.
Evaluating the algorithm with single-depth and multi-depth visual content.

Main Results:

Demonstrated effective control over reconstructed phase randomness.
Validated performance improvements in eyebox size and depth of field through simulations and experiments.
Showcased the algorithm's applicability to diverse visual contents.

Conclusions:

The proposed CGH optimization technique offers precise control over phase randomness.
This method significantly enhances key performance metrics for holographic near-eye displays.
The validated results pave the way for advanced holographic display technologies.