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Related Experiment Video

Updated: Sep 23, 2025

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Characterization of Anisotropic Leaky Mode Modulators for Holovideo

Published on: March 19, 2016

Perceptually motivated loss functions for computer generated holographic displays.

Fan Yang^1,2, Andrew Kadis¹, Ralf Mouthaan¹

¹Centre of Molecular Materials, Photonics and Electronics, University of Cambridge, Cambridge, UK.

Scientific Reports

|May 13, 2022

Summary

This summary is machine-generated.

Optimizing computer-generated holography with perceptual image quality metrics significantly enhances holographic display fidelity. Using appropriate image quality metrics (IQM) as loss functions improves perceived image quality over traditional methods.

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Area of Science:

Optics and Photonics
Computer Vision
Image Processing

Background:

Computer-generated holography (CGH) aims for high-fidelity holographic displays.
Current CGH algorithms often use mean squared error (MSE) for optimization.
MSE poorly correlates with human perception of image quality.

Purpose of the Study:

To analyze the effectiveness of contemporary image quality metrics (IQM) as loss functions in CGH.
To improve the perceived quality of holographically reconstructed images.

Main Methods:

Implemented various IQMs as loss functions within the hologram optimization process.
Conducted objective and subjective assessments of experimentally reconstructed holographic images.

Main Results:

The choice of IQM loss function significantly impacts perceived image quality.
Perceptually-motivated IQM losses yield considerable improvements in reconstructed image quality compared to MSE.

Conclusions:

Employing perceptually-motivated IQM loss functions is crucial for advancing CGH.
This approach leads to higher fidelity holographic displays with enhanced visual quality.