Publication Details

De-ghosted HDR video acquisition for embedded systems: Ghost-free HDR video of motion objects from stationary cameras

MUSIL Martin, NOSKO Svetozár and ZEMČÍK Pavel. De-Ghosted HDR Video Acquisition for Embedded Systems. Journal of Real-Time Image Processing, vol. 2020, no. 1, pp. 1-10. ISSN 1861-8200. Available from: https://link.springer.com/article/10.1007/s11554-020-01001-x
Czech title
Pořizování ghost-free HDR obrazu na vestavěných zařízeních
Type
journal article
Language
english
Authors
Musil Martin, Ing., Ph.D. (DCGM FIT BUT)
Nosko Svetozár, Ing. (DCGM FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
URL
Keywords

HDR, HDR Acquisition, Embedded Systems, Real-time HDR Processing, HDR Deghosting

Abstract

This paper proposes a novel ghost-free High Dynamic Range (HDR) multi-exposure video acquisition suitable for real-time implementation in embedded systems. While the method is limited to stationary cameras, it achieves, with low requirements on resources, results comparable to state-of-the-art de-ghosting methods that are often very computationally expensive and almost impossible to implement in smart cameras and embedded systems. The paper describes the method itself and includes an evaluation of the performance on selected embedded platforms and a comparison of the results to the state of the art using HDR datasets.

Published
2020
Pages
1-10
Journal
Journal of Real-Time Image Processing, vol. 2020, no. 1, ISSN 1861-8200
Publisher
Springer Verlag
DOI
10.1007/s11554-020-01001-x
UT WoS
000554050200001
EID Scopus
2-s2.0-85088842012
BibTeX 
@ARTICLE{FITPUB12311,
   author = "Martin Musil and Svetoz\'{a}r Nosko and Pavel Zem\v{c}\'{i}k",
   title = "De-ghosted HDR video acquisition for embedded systems: Ghost-free HDR video of motion objects from stationary cameras",
   pages = "1--10",
   journal = "Journal of Real-Time Image Processing",
   volume = 2020,
   number = 1,
   year = 2020,
   ISSN = "1861-8200",
   doi = "10.1007/s11554-020-01001-x",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12311"
}
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