Publication detail

Compression Artifacts Removal Using Convolutional Neural Networks

SVOBODA, P. HRADIŠ, M. BAŘINA, D. ZEMČÍK, P.

Original Title

Compression Artifacts Removal Using Convolutional Neural Networks

Type

journal article in Scopus

Language

English

Original Abstract

This paper shows that it is possible to train large and deep convolutional neural networks (CNN) for JPEG compression artifacts reduction.

Keywords

Deep learning, Convolutional neural networks, JPEG, Compression artifacts, Deblocking, Deringing

Authors

SVOBODA, P.; HRADIŠ, M.; BAŘINA, D.; ZEMČÍK, P.

Released

30. 5. 2016

ISBN

1213-6972

Periodical

Journal of WSCG

Year of study

24

Number

2

State

Czech Republic

Pages from

63

Pages to

72

Pages count

10

URL

https://dspace5.zcu.cz/handle/11025/21649

BibTex

@article{BUT130981,
  author="Pavel {Svoboda} and Michal {Hradiš} and David {Bařina} and Pavel {Zemčík}",
  title="Compression Artifacts Removal Using Convolutional Neural Networks",
  journal="Journal of WSCG",
  year="2016",
  volume="24",
  number="2",
  pages="63--72",
  issn="1213-6972",
  url="https://dspace5.zcu.cz/handle/11025/21649"
}