Detail publikace

Image Extrapolation Using K-SVD Algorithm

ŠPIŘÍK, J. ZÁTYIK, J. LÓCSI, L.

Originální název

Image Extrapolation Using K-SVD Algorithm

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This article presents a novel algorithm for image extrapolation, which utilizies K-SVD algorithm for training the overcomplete dictionary. With the trained dictionary we can get the extrapolated part of the image. The main idea is to perform the extrapolation for only one row or column at a time, and to drop some constraints on the overlapping of the patches. Our proposed algorithm is compared with the algorithm for image inpainting which can be also used for image extrapolation (with some special conditions). At the end some examples of extrapolated images are shown.

Klíčová slova

Extrapolation, border extension, border prediction, image processing, K-SVD, sparse

Autoři

ŠPIŘÍK, J.; ZÁTYIK, J.; LÓCSI, L.

Rok RIV

2013

Vydáno

3. 7. 2013

ISBN

978-1-4799-0402-0

Kniha

Proceedings of the 36th International Conference on Telecommunications and Signal Processing

Strany od

877

Strany do

880

Strany počet

4

BibTex

@inproceedings{BUT101114,
  author="Jan {Špiřík} and Ján {Zátyik} and Levente {Lócsi}",
  title="Image Extrapolation Using K-SVD Algorithm",
  booktitle="Proceedings of the 36th International Conference on Telecommunications and Signal Processing",
  year="2013",
  pages="877--880",
  isbn="978-1-4799-0402-0"
}