eprintid: 10192175
rev_number: 10
eprint_status: archive
userid: 699
dir: disk0/10/19/21/75
datestamp: 2024-05-13 10:38:43
lastmod: 2024-05-13 10:38:43
status_changed: 2024-05-13 10:38:43
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Zhan, Y
creators_name: Kavakll, K
creators_name: Urey, H
creators_name: Sun, Q
creators_name: Akşit, K
title: AutoColor: learned light power control for multi-color holograms
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F48
note: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Multi-color holograms rely on simultaneous illumination from multiple light sources. These multi-color holograms could utilize light sources better than conventional single-color holograms and can improve the dynamic range of holographic displays. In this letter, we introduce AutoColor, the first learned method for estimating the optimal light source powers required for illuminating multi-color holograms. For this purpose, we establish the first multi-color hologram dataset using synthetic images and their depth information. We generate these synthetic images using a trending pipeline combining generative, large language, and monocular depth estimation models. Finally, we train our learned model using our dataset and experimentally demonstrate that AutoColor significantly decreases the number of steps required to optimize multi-color holograms from > 1000 to 70 iteration steps without compromising image quality.
date: 2024-01-01
date_type: published
publisher: SPIE
official_url: http://dx.doi.org/10.1117/12.3000082
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2274342
doi: 10.1117/12.3000082
isbn_13: 9781510670860
lyricists_name: Aksit, Kaan
lyricists_id: KAKSI80
actors_name: Aksit, Kaan
actors_id: KAKSI80
actors_role: owner
full_text_status: public
pres_type: paper
publication: Proceedings of SPIE - The International Society for Optical Engineering
volume: 12913
place_of_pub: San Francisco, CA, USA
pagerange: 129130I
event_title: Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) V
event_dates: 29 Jan 2024 - 1 Feb 2024
issn: 0277-786X
book_title: Proceedings of SPIE - The International Society for Optical Engineering
editors_name: Hua, Hong
editors_name: Argaman, Naamah
editors_name: Nikolov, Daniel K
citation:        Zhan, Y;    Kavakll, K;    Urey, H;    Sun, Q;    Akşit, K;      (2024)    AutoColor: learned light power control for multi-color holograms.                     In: Hua, Hong and Argaman, Naamah and Nikolov, Daniel K, (eds.) Proceedings of SPIE - The International Society for Optical Engineering.  (pp. 129130I).  SPIE: San Francisco, CA, USA.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10192175/2/Aksit_129130I.pdf