Rotation, scaling, and translation resilient watermarking for images

Yu-Tzu Lin, C. Y. Huang, Greg C Lee

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Traditional watermarking schemes are sensitive to geometric distortions, in which synchronisation for recovering embedded information is a challenging task because of the disorder caused by rotation, scaling or translation (RST). The existing RST-resistant watermarking methods still have limitations with respect to robustness, capacity or fidelity. In this study, the authors address several major problems in RST-invariant watermarking. The first point is how to take advantage of the high RST resilience of scale-invariant feature transform (SIFT) features, which show good performance in terms of RST-resistant pattern recognition. Since many keypoint-based watermarking methods do not discuss cropping attacks, the second issue discussed in this study is how to resist cropping using a human visual system (HVS), which also helps us to eliminate computational complexity. The third issue is the investigation of an HVS-based watermarking strategy for extracting only feature points in the human attentive area. Lastly, a variable-length watermark synchronisation algorithm using dynamic programming is proposed. Experimental results show that the proposed algorithms are practical and show superior performance in comparison with many existing works in terms of watermark capacity, watermark transparency, and the resistance to RST attacks.

Original languageEnglish
Pages (from-to)328-340
Number of pages13
JournalIET Image Processing
Volume5
Issue number4
DOIs
Publication statusPublished - 2011 Jun 1

Fingerprint

Watermarking
Synchronization
Dynamic programming
Transparency
Pattern recognition
Computational complexity

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Rotation, scaling, and translation resilient watermarking for images. / Lin, Yu-Tzu; Huang, C. Y.; Lee, Greg C.

In: IET Image Processing, Vol. 5, No. 4, 01.06.2011, p. 328-340.

Research output: Contribution to journalArticle

@article{2253a46b3d4f4f5fa9988ecbc4dee425,
title = "Rotation, scaling, and translation resilient watermarking for images",
abstract = "Traditional watermarking schemes are sensitive to geometric distortions, in which synchronisation for recovering embedded information is a challenging task because of the disorder caused by rotation, scaling or translation (RST). The existing RST-resistant watermarking methods still have limitations with respect to robustness, capacity or fidelity. In this study, the authors address several major problems in RST-invariant watermarking. The first point is how to take advantage of the high RST resilience of scale-invariant feature transform (SIFT) features, which show good performance in terms of RST-resistant pattern recognition. Since many keypoint-based watermarking methods do not discuss cropping attacks, the second issue discussed in this study is how to resist cropping using a human visual system (HVS), which also helps us to eliminate computational complexity. The third issue is the investigation of an HVS-based watermarking strategy for extracting only feature points in the human attentive area. Lastly, a variable-length watermark synchronisation algorithm using dynamic programming is proposed. Experimental results show that the proposed algorithms are practical and show superior performance in comparison with many existing works in terms of watermark capacity, watermark transparency, and the resistance to RST attacks.",
author = "Yu-Tzu Lin and Huang, {C. Y.} and Lee, {Greg C}",
year = "2011",
month = "6",
day = "1",
doi = "10.1049/iet-ipr.2009.0264",
language = "English",
volume = "5",
pages = "328--340",
journal = "IET Image Processing",
issn = "1751-9659",
publisher = "Institution of Engineering and Technology",
number = "4",

}

TY - JOUR

T1 - Rotation, scaling, and translation resilient watermarking for images

AU - Lin, Yu-Tzu

AU - Huang, C. Y.

AU - Lee, Greg C

PY - 2011/6/1

Y1 - 2011/6/1

N2 - Traditional watermarking schemes are sensitive to geometric distortions, in which synchronisation for recovering embedded information is a challenging task because of the disorder caused by rotation, scaling or translation (RST). The existing RST-resistant watermarking methods still have limitations with respect to robustness, capacity or fidelity. In this study, the authors address several major problems in RST-invariant watermarking. The first point is how to take advantage of the high RST resilience of scale-invariant feature transform (SIFT) features, which show good performance in terms of RST-resistant pattern recognition. Since many keypoint-based watermarking methods do not discuss cropping attacks, the second issue discussed in this study is how to resist cropping using a human visual system (HVS), which also helps us to eliminate computational complexity. The third issue is the investigation of an HVS-based watermarking strategy for extracting only feature points in the human attentive area. Lastly, a variable-length watermark synchronisation algorithm using dynamic programming is proposed. Experimental results show that the proposed algorithms are practical and show superior performance in comparison with many existing works in terms of watermark capacity, watermark transparency, and the resistance to RST attacks.

AB - Traditional watermarking schemes are sensitive to geometric distortions, in which synchronisation for recovering embedded information is a challenging task because of the disorder caused by rotation, scaling or translation (RST). The existing RST-resistant watermarking methods still have limitations with respect to robustness, capacity or fidelity. In this study, the authors address several major problems in RST-invariant watermarking. The first point is how to take advantage of the high RST resilience of scale-invariant feature transform (SIFT) features, which show good performance in terms of RST-resistant pattern recognition. Since many keypoint-based watermarking methods do not discuss cropping attacks, the second issue discussed in this study is how to resist cropping using a human visual system (HVS), which also helps us to eliminate computational complexity. The third issue is the investigation of an HVS-based watermarking strategy for extracting only feature points in the human attentive area. Lastly, a variable-length watermark synchronisation algorithm using dynamic programming is proposed. Experimental results show that the proposed algorithms are practical and show superior performance in comparison with many existing works in terms of watermark capacity, watermark transparency, and the resistance to RST attacks.

UR - http://www.scopus.com/inward/record.url?scp=79959719844&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79959719844&partnerID=8YFLogxK

U2 - 10.1049/iet-ipr.2009.0264

DO - 10.1049/iet-ipr.2009.0264

M3 - Article

VL - 5

SP - 328

EP - 340

JO - IET Image Processing

JF - IET Image Processing

SN - 1751-9659

IS - 4

ER -