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Paper Abstract and Keywords
Presentation 2026-03-18 10:00
A Study on Learning-based Image Quality Improvement in Large-Étendue Direct-View Holographic Displays
Ryota Koiso, Keisuke Nonaka (KDDI) IMQ2025-103 IE2025-180 MVE2025-110
Abstract (in Japanese) (See Japanese page) 
(in English) Holographic displays offer an ultimate solution for direct-view 3D experiences by reconstructing the full light wavefront, but achieving both a large screen size and wide viewing freedom has been a long-standing challenge due to the limitations of the spatial-bandwidth product. We present a direct-view holographic display system that addresses this issue by combining an amplitude-only LCD panel with ultra-high pixel count and dynamic optical steering. By axially translating a lens, our system expands the eye box in depth, enabling flexible viewing distances and going beyond the capabilities of conventional eye-tracking based methods. Furthermore, we introduce a learning-based wave propagation model to compensate for the discrepancies between simulation and the real optical system, thereby improving the final image quality. This paper reports on our proposed system and its initial experimental results, which pave the way for scalable, high-quality holographic displays with expanded viewing freedom.
Keyword (in Japanese) (See Japanese page) 
(in English) Direct-view 3D display / Computer-generated hologram / Learning-based propagation model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 410, IE2025-180, pp. 466-471, March 2026.
Paper # IE2025-180 
Date of Issue 2026-03-09 (IMQ, IE, MVE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IMQ2025-103 IE2025-180 MVE2025-110

Conference Information
Committee CQ MVE IMQ IE  
Conference Date 2026-03-16 - 2026-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa-Sangyoushien-Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2026-03-CQ-MVE-IMQ-IE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Learning-based Image Quality Improvement in Large-Étendue Direct-View Holographic Displays 
Sub Title (in English)  
Keyword(1) Direct-view 3D display  
Keyword(2) Computer-generated hologram  
Keyword(3) Learning-based propagation model  
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1st Author's Name Ryota Koiso  
1st Author's Affiliation KDDI Research, Inc. (KDDI)
2nd Author's Name Keisuke Nonaka  
2nd Author's Affiliation KDDI Research, Inc. (KDDI)
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Speaker Author-1 
Date Time 2026-03-18 10:00:00 
Presentation Time 20 minutes 
Registration for IE 
Paper # IMQ2025-103, IE2025-180, MVE2025-110 
Volume (vol) vol.125 
Number (no) no.408(IMQ), no.410(IE), no.411(MVE) 
Page pp.466-471 
#Pages 6 
Date of Issue 2026-03-09 (IMQ, IE, MVE) 

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