Generalized patchwork algorithm for image watermarking

In Kwon Yeo, Hyong Joong Kim

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

This paper presents the generalized patchwork algorithm (GPA), which is an extension of the modified patchwork algorithm (MPA). The MPA embeds watermarks additively and changes the mean of the pixels accordingly. In this paper, we take multiplicative watermarks into consideration where the GPA can change the variance of pixels. The GPA combines both additive watermarks and multiplicative watermarks. The embedding functions of the GPA determine embedding parameters adaptively according to the host signals. Detection functions also determine thresholds adaptively. Embedding and detection functions based on the test of statistical hypotheses are presented in this paper. Simulation results show the effectiveness of the GPA. The proposed algorithm is sufficiently robust against various signal processing operations, especially against compression attacks.

Original languageEnglish
Pages (from-to)261-265
Number of pages5
JournalMultimedia Systems
Volume9
Issue number3
Publication statusPublished - 2003 Sep
Externally publishedYes

Fingerprint

Image Watermarking
Image watermarking
Watermark
Multiplicative
Pixel
Pixels
Signal Processing
Signal processing
Compression
Attack

Keywords

  • Discrete cosine transform
  • Modified patchwork algorithm
  • Statistical hypothesis testing
  • Watermarking scheme

ASJC Scopus subject areas

  • Information Systems
  • Theoretical Computer Science
  • Computational Theory and Mathematics

Cite this

Generalized patchwork algorithm for image watermarking. / Yeo, In Kwon; Kim, Hyong Joong.

In: Multimedia Systems, Vol. 9, No. 3, 09.2003, p. 261-265.

Research output: Contribution to journalArticle

@article{faa8bce40b47469b8cfa49460d1505a0,
title = "Generalized patchwork algorithm for image watermarking",
abstract = "This paper presents the generalized patchwork algorithm (GPA), which is an extension of the modified patchwork algorithm (MPA). The MPA embeds watermarks additively and changes the mean of the pixels accordingly. In this paper, we take multiplicative watermarks into consideration where the GPA can change the variance of pixels. The GPA combines both additive watermarks and multiplicative watermarks. The embedding functions of the GPA determine embedding parameters adaptively according to the host signals. Detection functions also determine thresholds adaptively. Embedding and detection functions based on the test of statistical hypotheses are presented in this paper. Simulation results show the effectiveness of the GPA. The proposed algorithm is sufficiently robust against various signal processing operations, especially against compression attacks.",
keywords = "Discrete cosine transform, Modified patchwork algorithm, Statistical hypothesis testing, Watermarking scheme",
author = "Yeo, {In Kwon} and Kim, {Hyong Joong}",
year = "2003",
month = "9",
language = "English",
volume = "9",
pages = "261--265",
journal = "Multimedia Systems",
issn = "0942-4962",
publisher = "Springer Verlag",
number = "3",

}

TY - JOUR

T1 - Generalized patchwork algorithm for image watermarking

AU - Yeo, In Kwon

AU - Kim, Hyong Joong

PY - 2003/9

Y1 - 2003/9

N2 - This paper presents the generalized patchwork algorithm (GPA), which is an extension of the modified patchwork algorithm (MPA). The MPA embeds watermarks additively and changes the mean of the pixels accordingly. In this paper, we take multiplicative watermarks into consideration where the GPA can change the variance of pixels. The GPA combines both additive watermarks and multiplicative watermarks. The embedding functions of the GPA determine embedding parameters adaptively according to the host signals. Detection functions also determine thresholds adaptively. Embedding and detection functions based on the test of statistical hypotheses are presented in this paper. Simulation results show the effectiveness of the GPA. The proposed algorithm is sufficiently robust against various signal processing operations, especially against compression attacks.

AB - This paper presents the generalized patchwork algorithm (GPA), which is an extension of the modified patchwork algorithm (MPA). The MPA embeds watermarks additively and changes the mean of the pixels accordingly. In this paper, we take multiplicative watermarks into consideration where the GPA can change the variance of pixels. The GPA combines both additive watermarks and multiplicative watermarks. The embedding functions of the GPA determine embedding parameters adaptively according to the host signals. Detection functions also determine thresholds adaptively. Embedding and detection functions based on the test of statistical hypotheses are presented in this paper. Simulation results show the effectiveness of the GPA. The proposed algorithm is sufficiently robust against various signal processing operations, especially against compression attacks.

KW - Discrete cosine transform

KW - Modified patchwork algorithm

KW - Statistical hypothesis testing

KW - Watermarking scheme

UR - http://www.scopus.com/inward/record.url?scp=1442357611&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1442357611&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:1442357611

VL - 9

SP - 261

EP - 265

JO - Multimedia Systems

JF - Multimedia Systems

SN - 0942-4962

IS - 3

ER -