Detail publikačního výsledku

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

MUSIL, M.; NOSKO, S.; ZEMČÍK, P.

Originální název

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

Anglický název

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

Druh

Článek WoS

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

MUSIL, M.; NOSKO, S.; ZEMČÍK, P.

Rok RIV

2021

Vydáno

30.07.2020

ISSN

1861-8200

Periodikum

Journal of Real-Time Image Processing

Svazek

2020

Číslo

1

Stát

Spolková republika Německo

Strany od

1

Strany do

10

Strany počet

10

URL

https://link.springer.com/article/10.1007/s11554-020-01001-x

BibTex

@article{BUT168168,
  author="Martin {Musil} and Svetozár {Nosko} and Pavel {Zemčík}",
  title="De-ghosted HDR video acquisition for embedded systems: Ghost-free HDR video of motion objects from stationary cameras",
  journal="Journal of Real-Time Image Processing",
  year="2020",
  volume="2020",
  number="1",
  pages="1--10",
  doi="10.1007/s11554-020-01001-x",
  issn="1861-8200",
  url="https://link.springer.com/article/10.1007/s11554-020-01001-x"
}

Dokumenty

Musil2020_Article_De-ghostedHDRVideoAcquisitionF