A method for deciding quantization steps in QIM watermarking schemes

Yunho Lee, Kwangwoo Lee, Seung-Joo Kim, Dongho Won, Hyungkyu Yang

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

5 Citations (Scopus)

Abstract

In this paper, we propose a method for enlarging quantization steps of a QIM watermarking scheme which determines the perceptual quality and robustness of the watermarked images. In general, increasing the quantization steps leads to good robustness but poor perceptual quality of watermarked images and vice versa. However, if we choose the quantization steps considering the expected quantization results as well as the original images, we can increase both robustness and perceptual quality of the watermarked images.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages965-975
Number of pages11
Volume3823 LNCS
Publication statusPublished - 2005 Dec 1
Externally publishedYes
EventEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES - Nagasaki, Japan
Duration: 2005 Dec 62005 Dec 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3823 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherEUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES
CountryJapan
CityNagasaki
Period05/12/605/12/9

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Watermarking
Quantization
Robustness
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ASJC Scopus subject areas

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

Cite this

Lee, Y., Lee, K., Kim, S-J., Won, D., & Yang, H. (2005). A method for deciding quantization steps in QIM watermarking schemes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3823 LNCS, pp. 965-975). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3823 LNCS).

A method for deciding quantization steps in QIM watermarking schemes. / Lee, Yunho; Lee, Kwangwoo; Kim, Seung-Joo; Won, Dongho; Yang, Hyungkyu.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3823 LNCS 2005. p. 965-975 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3823 LNCS).

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

Lee, Y, Lee, K, Kim, S-J, Won, D & Yang, H 2005, A method for deciding quantization steps in QIM watermarking schemes. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3823 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3823 LNCS, pp. 965-975, EUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES, Nagasaki, Japan, 05/12/6.
Lee Y, Lee K, Kim S-J, Won D, Yang H. A method for deciding quantization steps in QIM watermarking schemes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3823 LNCS. 2005. p. 965-975. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Lee, Yunho ; Lee, Kwangwoo ; Kim, Seung-Joo ; Won, Dongho ; Yang, Hyungkyu. / A method for deciding quantization steps in QIM watermarking schemes. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3823 LNCS 2005. pp. 965-975 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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