Publication detail

Watermarking methods with singular value decomposition

ČÍKA, P. ZUKAL, M.

Original Title

Watermarking methods with singular value decomposition

English Title

Watermarking methods with singular value decomposition

Type

conference paper

Language

en

Original Abstract

The Discrete Wavelet Transform (DWT) and the Discrete Cosine Transform (DCT) are used in most cases in todays image- and video- compression algorithms. The imageand the video- data can be protected against illegal usage by means of the Digital Rights Management (DRM) or the digital watermarking methods. This paper deals with comparison of two robust digital image watermarking methods. The first method uses DWT and Singular Value Decomposition (SVD), the second one uses DCT and SVD. The testing of the robustness of the developed methods was done with the checkmark watermark benchmarking project. The whole test, results and conclusions are presented at the end of this paper.

English abstract

The Discrete Wavelet Transform (DWT) and the Discrete Cosine Transform (DCT) are used in most cases in todays image- and video- compression algorithms. The imageand the video- data can be protected against illegal usage by means of the Digital Rights Management (DRM) or the digital watermarking methods. This paper deals with comparison of two robust digital image watermarking methods. The first method uses DWT and Singular Value Decomposition (SVD), the second one uses DCT and SVD. The testing of the robustness of the developed methods was done with the checkmark watermark benchmarking project. The whole test, results and conclusions are presented at the end of this paper.

Keywords

watermarking, SVD, DWT, DCT

RIV year

2012

Released

12.09.2012

Publisher

University of Žilina

Location

Žilina

ISBN

978-80-554-0569-8

Book

Research in Telecommunication Technologies

Pages from

221

Pages to

224

Pages count

4

BibTex


@inproceedings{BUT95512,
  author="Petr {Číka} and Martin {Zukal}",
  title="Watermarking methods with singular value decomposition",
  annote="The Discrete Wavelet Transform (DWT) and the Discrete Cosine Transform (DCT) are used in most cases in todays image- and video- compression algorithms. The imageand the video- data can be protected against illegal usage by means of the Digital Rights Management (DRM) or the digital watermarking methods. This paper deals with comparison of two robust digital image watermarking methods. The first method uses DWT and Singular Value Decomposition (SVD), the second one uses DCT and SVD. The testing of the robustness of the developed methods was done with the checkmark watermark benchmarking project. The whole test, results and conclusions are presented at the end of this paper.",
  address="University of Žilina",
  booktitle="Research in Telecommunication Technologies",
  chapter="95512",
  howpublished="electronic, physical medium",
  institution="University of Žilina",
  year="2012",
  month="september",
  pages="221--224",
  publisher="University of Žilina",
  type="conference paper"
}