Robust Blind Watermarking Algorithm Based on Contourlet Transform with Singular Value Decomposition
Summary :
In this Letter, we propose a blind and robust multiple watermarking scheme using Contourlet transform and singular value decomposition (SVD). The host image is first decomposed by Contourlet transform. Singular values of Contourlet coefficient blocks are adopted to embed watermark information, and a fast calculation method is proposed to avoid the heavy computation of SVD. The watermark is embedded in both low and high frequency Contourlet coefficients to increase the robustness against various attacks. Moreover, the proposed scheme intrinsically exploits the characteristics of human visual system and thus can ensure the invisibility of the watermark. Simulation results show that the proposed scheme outperforms other related methods in terms of both robustness and execution time.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E104-A No.3 pp.640-643
- Publication Date
- 2021/03/01
- Publicized
- 2020/09/11
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.2020EAL2067
- Type of Manuscript
- LETTER
- Category
- Cryptography and Information Security
Authors
Lei SONG
Army Engineering University
Xue-Cheng SUN
Zhejiang University
Zhe-Ming LU
Zhejiang University
Keyword
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Lei SONG, Xue-Cheng SUN, Zhe-Ming LU, "Robust Blind Watermarking Algorithm Based on Contourlet Transform with Singular Value Decomposition" in IEICE TRANSACTIONS on Fundamentals,
vol. E104-A, no. 3, pp. 640-643, March 2021, doi: 10.1587/transfun.2020EAL2067.
Abstract: In this Letter, we propose a blind and robust multiple watermarking scheme using Contourlet transform and singular value decomposition (SVD). The host image is first decomposed by Contourlet transform. Singular values of Contourlet coefficient blocks are adopted to embed watermark information, and a fast calculation method is proposed to avoid the heavy computation of SVD. The watermark is embedded in both low and high frequency Contourlet coefficients to increase the robustness against various attacks. Moreover, the proposed scheme intrinsically exploits the characteristics of human visual system and thus can ensure the invisibility of the watermark. Simulation results show that the proposed scheme outperforms other related methods in terms of both robustness and execution time.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAL2067/_p
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@ARTICLE{e104-a_3_640,
author={Lei SONG, Xue-Cheng SUN, Zhe-Ming LU, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Robust Blind Watermarking Algorithm Based on Contourlet Transform with Singular Value Decomposition},
year={2021},
volume={E104-A},
number={3},
pages={640-643},
abstract={In this Letter, we propose a blind and robust multiple watermarking scheme using Contourlet transform and singular value decomposition (SVD). The host image is first decomposed by Contourlet transform. Singular values of Contourlet coefficient blocks are adopted to embed watermark information, and a fast calculation method is proposed to avoid the heavy computation of SVD. The watermark is embedded in both low and high frequency Contourlet coefficients to increase the robustness against various attacks. Moreover, the proposed scheme intrinsically exploits the characteristics of human visual system and thus can ensure the invisibility of the watermark. Simulation results show that the proposed scheme outperforms other related methods in terms of both robustness and execution time.},
keywords={},
doi={10.1587/transfun.2020EAL2067},
ISSN={1745-1337},
month={March},}
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TY - JOUR
TI - Robust Blind Watermarking Algorithm Based on Contourlet Transform with Singular Value Decomposition
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 640
EP - 643
AU - Lei SONG
AU - Xue-Cheng SUN
AU - Zhe-Ming LU
PY - 2021
DO - 10.1587/transfun.2020EAL2067
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E104-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2021
AB - In this Letter, we propose a blind and robust multiple watermarking scheme using Contourlet transform and singular value decomposition (SVD). The host image is first decomposed by Contourlet transform. Singular values of Contourlet coefficient blocks are adopted to embed watermark information, and a fast calculation method is proposed to avoid the heavy computation of SVD. The watermark is embedded in both low and high frequency Contourlet coefficients to increase the robustness against various attacks. Moreover, the proposed scheme intrinsically exploits the characteristics of human visual system and thus can ensure the invisibility of the watermark. Simulation results show that the proposed scheme outperforms other related methods in terms of both robustness and execution time.
ER -
English
