PAColorHolo: A Perceptually-Aware Color Management Framework for Holographic Displays

TL;DR

This paper introduces PAColorHolo, a framework that improves perceptual color accuracy in holographic displays by combining color transformations, adaptive lighting, and neural perceptual models, validated through simulations, experiments, and user studies.

Contribution

It presents a novel perceptually-aware color management framework specifically designed for holographic displays, addressing complex system distortions and improving visual realism.

Findings

Significant enhancement in perceptual color fidelity in holographic rendering.

Effective reduction of color inconsistencies caused by system distortions.

Validated improvements through simulations, optical experiments, and user studies.

Abstract

Holographic displays offer significant potential for augmented and virtual reality applications by reconstructing wavefronts that enable continuous depth cues and natural parallax without vergence-accommodation conflict. However, despite advances in pixel-level image quality, current systems struggle to achieve perceptually accurate color reproduction--an essential component of visual realism. These challenges arise from complex system-level distortions caused by coherent laser illumination, spatial light modulator imperfections, chromatic aberrations, and camera-induced color biases. In this work, we propose a perceptually-aware color management framework for holographic displays that jointly addresses input-output color inconsistencies through color space transformation, adaptive illumination control, and neural network-based perceptual modeling of the camera's color response. We validate the effectiveness of our approach through numerical simulations, optical experiments, and a controlled user study. The results demonstrate substantial improvements in perceptual color fidelity, laying the groundwork for perceptually driven holographic rendering in future systems.