Publication result detail

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

MUSIL, M.; NOSKO, S.; ZEMČÍK, P.

Original Title

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

English Title

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

Type

WoS Article

Original 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.

English 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.

Keywords

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

Key words in English

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

Authors

MUSIL, M.; NOSKO, S.; ZEMČÍK, P.

RIV year

2021

Released

30.07.2020

ISBN

1861-8200

Periodical

Journal of Real-Time Image Processing

Volume

2020

Number

1

State

Federal Republic of Germany

Pages from

1

Pages to

10

Pages count

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"
}

Documents

Musil2020_Article_De-ghostedHDRVideoAcquisitionF