An efficient watermarking technique using ADEW and CBWT for copyright protection

Goo R. Kwon, Seung W. Jung, Sung-Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an efficient watermarking technique using adaptive differential energy watermarking (ADEW) and cross binding wavelet tree (CBWT) for copyright protection. The ADEW embeds a secret bit string using the reference threshold with experimental statistics. The proposed method not only takes advantage of the ADEW's error resilience but corrects a secret bit string by using ECC after error occurrence. Experimental results indicated that the proposed method provides better robustness against attacks than the conventional DEW approaches.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages634-641
Number of pages8
Volume4456 LNAI
Publication statusPublished - 2007 Dec 1
EventInternational Conference on Computational Intelligence and Security, CIS 2006 - Guangzhou, China
Duration: 2006 Nov 32006 Nov 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4456 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Conference on Computational Intelligence and Security, CIS 2006
CountryChina
CityGuangzhou
Period06/11/306/11/6

Fingerprint

Copyright Protection
Adaptive Techniques
Watermarking
Wavelets
Strings
Energy
Error Resilience
Attack
Statistics
Robustness
Experimental Results

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kwon, G. R., Jung, S. W., & Ko, S-J. (2007). An efficient watermarking technique using ADEW and CBWT for copyright protection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4456 LNAI, pp. 634-641). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4456 LNAI).

An efficient watermarking technique using ADEW and CBWT for copyright protection. / Kwon, Goo R.; Jung, Seung W.; Ko, Sung-Jea.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4456 LNAI 2007. p. 634-641 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4456 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kwon, GR, Jung, SW & Ko, S-J 2007, An efficient watermarking technique using ADEW and CBWT for copyright protection. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4456 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4456 LNAI, pp. 634-641, International Conference on Computational Intelligence and Security, CIS 2006, Guangzhou, China, 06/11/3.
Kwon GR, Jung SW, Ko S-J. An efficient watermarking technique using ADEW and CBWT for copyright protection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4456 LNAI. 2007. p. 634-641. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Kwon, Goo R. ; Jung, Seung W. ; Ko, Sung-Jea. / An efficient watermarking technique using ADEW and CBWT for copyright protection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4456 LNAI 2007. pp. 634-641 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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