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

2026-01-21

ACM Transactions on Graphics

AI Summary

This work addresses the challenge of achieving perceptually accurate color reproduction in holographic displays, which is hindered by laser coherence, imperfections in spatial light modulators, chromatic aberrations, and camera color inaccuracies. To overcome these limitations, the authors propose the first perception-driven color management framework that integrates physical optical modeling with neural perceptual modeling. The framework jointly corrects input–output color inconsistencies through a pipeline comprising color space transformation, adaptive laser illumination control, and a neural network that models the camera’s color response. Comprehensive evaluations—including numerical simulations, optical experiments, and user studies—demonstrate significant improvements in color perceptual fidelity. This approach establishes a foundational step toward perception-driven holographic rendering.

Technology Category

• Computer Vision: Computational Photography, Image & Video Synthesis
• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Search and Optimization: Mixed Discrete/Continuous Search

Application Category

• User Modeling, Personalization and Recommendation: Fairness-aware retrieval and ranking
• Search and Retrieval-Augmented AI: Web learning to rank, online learning, and counterfactual learning for ranking
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

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.

Problem

• holographic displays
• color reproduction
• perceptual color fidelity
• system-level distortions
• color inconsistency

Innovation

• holographic display
• perceptual color management
• neural network-based modeling
• adaptive illumination control
• color fidelity