Detail výsledku

Perceptual license plate super-resolution with CTC loss

BÍLKOVÁ, Z.; HRADIŠ, M. Perceptual license plate super-resolution with CTC loss. In IS and T International Symposium on Electronic Imaging Science and Technology. IS&T International Symposium on Electronic Imaging Science and Technology. Springfield, USA: Society for Imaging Science and Technology, 2020. no. 6, p. 52-57. ISSN: 2470-1173.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Bílková Zuzana, RNDr.
Hradiš Michal, Ing., Ph.D., UAMT (FEKT), UPGM (FIT)
Abstrakt

We present a novel method for super-resolution (SR) of license plate images based on an end-to-end convolutional neural networks (CNN) combining generative adversial networksn(GANs) and optical character recognition (OCR). License plate SR systems play an important role in number of security applications such as improvement of road safety, traffic monitoring or surveillance. The specific task requires not only realistic-looking reconstructed images but it also needs to preserve the text information. Standard CNN SR and GANs fail to accomplish this requirment. The incorporation of the OCR pipeline into the method also allows training of the network without the need of ground truth high resolution data which enables easy training on real data with all the real image degradations including compression.

Klíčová slova

superresolution, license plate recognition, GAN, deblurring

Rok
2020
Strany
52–57
Časopis
IS&T International Symposium on Electronic Imaging Science and Technology, roč. 2020, č. 6, ISSN 2470-1173
Sborník
IS and T International Symposium on Electronic Imaging Science and Technology
Konference
INTELLIGENT ROBOTICS AND INDUSTRIAL APPLICATIONS USING COMPUTER VISION 2020
Vydavatel
Society for Imaging Science and Technology
Místo
Springfield, USA
DOI
10.2352/ISSN.2470-1173.2020.6.IRIACV-052
EID Scopus
2-s2.0-85111182509
BibTeX 
@inproceedings{BUT182964,
  author="Zuzana {Bílková} and Michal {Hradiš}",
  title="Perceptual license plate super-resolution with CTC loss",
  booktitle="IS and T International Symposium on Electronic Imaging Science and Technology",
  year="2020",
  journal="IS&T International Symposium on Electronic Imaging Science and Technology",
  volume="2020",
  number="6",
  pages="52--57",
  publisher="Society for Imaging Science and Technology",
  address="Springfield, USA",
  doi="10.2352/ISSN.2470-1173.2020.6.IRIACV-052"
}
Pracoviště
Ústav počítačové grafiky a multimédií (UPGM)
Nahoru