An efficient pattern substitution watermarking method for binary images

Keming Dong, Hyong Joong Kim

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

1 Citation (Scopus)

Abstract

In this paper, a method to decrease the size of location map for non-overlapping pattern substitution method is presented. Original pattern substitution (PS) method has been proposed by Ho et al.[1] as a reversible watermarking scheme for binary images. They use a pair of two patterns to embed data. Unfortunately, their location map is huge in size. In our method, we propose an efficient mechanism which can decrease the size of location map considerably for un-overlapping version of the PS method. Experiment results show that our method works well on decreasing the size of location map. Comparison results with the original PS method demonstrate that the proposed method achieves more embedding capacity and higher PSNR value due to the reduced size of the location map.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages181-188
Number of pages8
Volume6526 LNCS
DOIs
Publication statusPublished - 2011 Feb 1
Event9th International Workshop on Digital Watermarking, IWDW 2010 - Seoul, Korea, Republic of
Duration: 2010 Oct 12010 Oct 3

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6526 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Workshop on Digital Watermarking, IWDW 2010
CountryKorea, Republic of
CitySeoul
Period10/10/110/10/3

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Keywords

  • Binary image watermarking
  • pattern substitution
  • reversible watermarking

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Dong, K., & Kim, H. J. (2011). An efficient pattern substitution watermarking method for binary images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6526 LNCS, pp. 181-188). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6526 LNCS). https://doi.org/10.1007/978-3-642-18405-5-15