Treffer: Asymmetric Stereo High Dynamic Range Imaging with Smartphone Cameras
Title:
Asymmetric Stereo High Dynamic Range Imaging with Smartphone Cameras
Authors:
Source:
urn:ISSN:1424-8220 ; Sensors, 24, 18, 5876
Publisher Information:
MDPI
Publication Year:
2024
Collection:
UNSW Sydney (The University of New South Wales): UNSWorks
Subject Terms:
46 Information and Computing Sciences, 4607 Graphics, Augmented Reality and Games, 4603 Computer Vision and Multimedia Computation, Bioengineering, asymmetric imaging, deep learning, high dynamic range, stereo imaging, anzsrc-for: 46 Information and Computing Sciences, anzsrc-for: 4607 Graphics, anzsrc-for: 4603 Computer Vision and Multimedia Computation, anzsrc-for: 0301 Analytical Chemistry, anzsrc-for: 0502 Environmental Science and Management, anzsrc-for: 0602 Ecology, anzsrc-for: 0805 Distributed Computing, anzsrc-for: 0906 Electrical and Electronic Engineering, anzsrc-for: 3103 Ecology, anzsrc-for: 4008 Electrical engineering, anzsrc-for: 4009 Electronics, sensors and digital hardware, anzsrc-for: 4104 Environmental management, anzsrc-for: 4606 Distributed computing and systems software
Document Type:
Fachzeitschrift
article in journal/newspaper
Language:
unknown
DOI:
10.3390/s24185876
Rights:
open access ; https://purl.org/coar/access_right/c_abf2 ; CC-BY ; https://creativecommons.org/licenses/by/4.0/ ; CC BY
Accession Number:
edsbas.EF3239AF
Database:
BASE
Weitere Informationen
Stereo high dynamic range imaging (SHDRI) offers a more temporally stable solution to high dynamic range (HDR) imaging from low dynamic range input images compared to bracketing and removes the loss of accuracy that single-image HDR solutions offer. However, few solutions currently exist that take advantage of the different (asymmetric) lenses, commonly found on modern smartphones, to achieve SHDRI. This paper presents a method that achieves single-shot asymmetric HDR fusion via a reference-based deep learning approach. Results demonstrate a system that is more robust to aperture and image signal processing pipeline differences than existing solutions.