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Conference Paper
Pre-correction and Camera-in-the-loop Methods for Multi-depth Full-color Holographic HUDs
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- Authors
- Han-Ju Yeom, Jinsu Lee, Keehoon Hong
- Issue Date
- 2026-07
- Citation
- Optics and Photonics Congress (OPC) 2026, pp.1-1
- Publisher
- 한국광학회
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents a comprehensive image quality optimization framework for multi-depth full-color holographic Head-Up Displays (HUDs). Holographic projections often suffer from degradation due to RGB channel mismatches and depth-dependent optical aberrations. To resolve these issues, we propose a two-stage approach: an image-level pre-correction method to rectify RGB discrepancies and wide-angle distortions, followed by a multi-depth camera-in-the-loop (CITL) optimization utilizing a programmable lens controller. In particular, we implemented an algorithm to independently measure and compensate for astigmatism and spherical aberration at each reconstruction depth. Experimental results demonstrate a substantial enhancement in color reproduction and overall image fidelity, achieving a peak signal-to-noise ratio (PSNR) improvement from 16.84 dB to 22.60 dB.
- KSP Keywords
- Correction method, Depth camera, Depth-dependent, Head-up display, Image fidelity, Multi-depth, Optimization Framework, Peak-Signal-to-Noise-Ratio(PSNR), Quality optimization, Signal noise ratio(SNR), Spherical aberration