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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Les algorithmes de filigrane basés sur un arbre d'ondelettes utilisent la différence d'énergie du coefficient d'ondelette pour la protection des droits d'auteur et la vérification de la propriété. L'algorithme WTQ (Wavelet Tree Quantization) est la technique représentative utilisant la différence d'énergie pour le filigrane. Selon la cryptanalyse sur WTQ, le filigrane intégré dans l'image protégée peut être supprimé avec succès. Dans cet article, nous présentons un nouvel algorithme de tatouage d'énergie différentielle basé sur la structure de modulation de groupe d'arbres d'ondelettes, c'est-à-dire WTGM (Wavelet Tree Group Modulation). Les coefficients d'ondelettes de l'image hôte sont divisés en super-arbres disjoints (chaque super-arbre contenant deux sous-super-arbres). Le filigrane est intégré dans les composants à fréquence relativement élevée en utilisant la stratégie de groupe de telle sorte que les énergies des sous-super-arbres soient proches. L'emploi de la structure arborescente d'ondelettes, de la somme de sous-ensembles et de la modulation positive/négative améliore efficacement les inconvénients du schéma WTQ en termes d'insécurité. L'intégration du HVS (Human Visual System) pour WTGM offre un meilleur effet visuel de l'image filigranée. Les résultats expérimentaux démontrent l'efficacité de notre algorithme en termes de robustesse et d'imperceptibilité.
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Min-Jen TSAI, Chang-Hsing SHEN, "Differential Energy Based Watermarking Algorithm Using Wavelet Tree Group Modulation (WTGM) and Human Visual System" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 8, pp. 1961-1973, August 2008, doi: 10.1093/ietfec/e91-a.8.1961.
Abstract: Wavelet tree based watermarking algorithms are using the wavelet coefficient energy difference for copyright protection and ownership verification. WTQ (Wavelet Tree Quantization) algorithm is the representative technique using energy difference for watermarking. According to the cryptanalysis on WTQ, the watermark embedded in the protected image can be removed successfully. In this paper, we present a novel differential energy watermarking algorithm based on the wavelet tree group modulation structure, i.e. WTGM (Wavelet Tree Group Modulation). The wavelet coefficients of host image are divided into disjoint super trees (each super tree containing two sub-super trees). The watermark is embedded in the relatively high-frequency components using the group strategy such that energies of sub-super trees are close. The employment of wavelet tree structure, sum-of-subsets and positive/negative modulation effectively improve the drawbacks of the WTQ scheme for its insecurity. The integration of the HVS (Human Visual System) for WTGM provides a better visual effect of the watermarked image. The experimental results demonstrate the effectiveness of our algorithm in terms of robustness and imperceptibility.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.8.1961/_p
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@ARTICLE{e91-a_8_1961,
author={Min-Jen TSAI, Chang-Hsing SHEN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Differential Energy Based Watermarking Algorithm Using Wavelet Tree Group Modulation (WTGM) and Human Visual System},
year={2008},
volume={E91-A},
number={8},
pages={1961-1973},
abstract={Wavelet tree based watermarking algorithms are using the wavelet coefficient energy difference for copyright protection and ownership verification. WTQ (Wavelet Tree Quantization) algorithm is the representative technique using energy difference for watermarking. According to the cryptanalysis on WTQ, the watermark embedded in the protected image can be removed successfully. In this paper, we present a novel differential energy watermarking algorithm based on the wavelet tree group modulation structure, i.e. WTGM (Wavelet Tree Group Modulation). The wavelet coefficients of host image are divided into disjoint super trees (each super tree containing two sub-super trees). The watermark is embedded in the relatively high-frequency components using the group strategy such that energies of sub-super trees are close. The employment of wavelet tree structure, sum-of-subsets and positive/negative modulation effectively improve the drawbacks of the WTQ scheme for its insecurity. The integration of the HVS (Human Visual System) for WTGM provides a better visual effect of the watermarked image. The experimental results demonstrate the effectiveness of our algorithm in terms of robustness and imperceptibility.},
keywords={},
doi={10.1093/ietfec/e91-a.8.1961},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - Differential Energy Based Watermarking Algorithm Using Wavelet Tree Group Modulation (WTGM) and Human Visual System
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1961
EP - 1973
AU - Min-Jen TSAI
AU - Chang-Hsing SHEN
PY - 2008
DO - 10.1093/ietfec/e91-a.8.1961
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2008
AB - Wavelet tree based watermarking algorithms are using the wavelet coefficient energy difference for copyright protection and ownership verification. WTQ (Wavelet Tree Quantization) algorithm is the representative technique using energy difference for watermarking. According to the cryptanalysis on WTQ, the watermark embedded in the protected image can be removed successfully. In this paper, we present a novel differential energy watermarking algorithm based on the wavelet tree group modulation structure, i.e. WTGM (Wavelet Tree Group Modulation). The wavelet coefficients of host image are divided into disjoint super trees (each super tree containing two sub-super trees). The watermark is embedded in the relatively high-frequency components using the group strategy such that energies of sub-super trees are close. The employment of wavelet tree structure, sum-of-subsets and positive/negative modulation effectively improve the drawbacks of the WTQ scheme for its insecurity. The integration of the HVS (Human Visual System) for WTGM provides a better visual effect of the watermarked image. The experimental results demonstrate the effectiveness of our algorithm in terms of robustness and imperceptibility.
ER -