The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nesta Carta, propomos um esquema cego e robusto de marcas d'água múltiplas usando transformada de Contourlet e decomposição de valores singulares (SVD). A imagem hospedeira é primeiro decomposta pela transformação Contourlet. Valores singulares dos blocos de coeficientes Contourlet são adotados para incorporar informações de marca d'água, e um método de cálculo rápido é proposto para evitar o cálculo pesado do SVD. A marca d'água está incorporada em coeficientes Contourlet de baixa e alta frequência para aumentar a robustez contra vários ataques. Além disso, o esquema proposto explora intrinsecamente as características do sistema visual humano e assim pode garantir a invisibilidade da marca d’água. Os resultados da simulação mostram que o esquema proposto supera outros métodos relacionados em termos de robustez e tempo de execução.
Lei SONG
Army Engineering University
Xue-Cheng SUN
Zhejiang University
Zhe-Ming LU
Zhejiang University
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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 -