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
Dalam makalah ini, kami mencadangkan kaedah penanda air imej berasaskan entropi dalam domain wavelet. Tidak seperti entropi tradisional, kami menggunakan tenaga ternormal dan bukannya kebarangkalian yang dipanggil entropi berasaskan tenaga (EBE). Berdasarkan EBE, tera air boleh dibenamkan dengan mantap dan tidak dapat dilihat. Dalam kaedah yang dicadangkan kami, pokok wavelet dikelompokkan ke dalam pokok super. Kemudian setiap pokok super juga dibahagikan kepada lima sub-blok. Mengikut keadaan bit tera air, EBE setiap sub-blok akan diubah suai masing-masing. Dalam eksperimen, tiga imej (Lenna, Goldhill dan Peppers) dipilih untuk menilai prestasi. PSNR bagi imej tera air ini ialah 44.039, 43.51 dan 43.67. Berbanding dengan Wang et al.[18], ia sangat meningkatkan PSNR, masing-masing kira-kira 5.8, 4.8 dan 3.9 dB. Untuk pertimbangan kapasiti untuk membenamkan, bilangan maksimum bit tera air juga ditambah. Keputusan eksperimen menunjukkan bahawa kaedah penanda air berasaskan entropi yang dicadangkan berfungsi dengan baik dalam pemampatan JPEG, penapisan (penapis Gaussian, penapis median dan penajaman) dan serangan geometri (anjakan dan putaran piksel). Di samping itu, ia juga sangat teguh untuk menentang pelbagai serangan tera air.
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Salinan
Gin-Der WU, Pang-Hsuan HUANG, "A Novel Entropy Based Image Watermarking in Wavelet Domain" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 10, pp. 3313-3325, October 2008, doi: 10.1093/ietcom/e91-b.10.3313.
Abstract: In this paper, we proposed a novel entropy-based image watermarking method in wavelet domain. Unlike traditional entropy, we use the normalized energy instead of the probability which is called energy-based entropy (EBE). Based on EBE, the watermark can be embedded robustly and imperceptibly. In our proposed method, the wavelet-trees are grouped into super-trees. Then each super-tree is also divided into five sub-blocks. According to the watermark bit state, the EBE of each sub-block will be modified respectively. In an experiment, three images (Lenna, Goldhill and Peppers) are chosen for evaluating the performance. The PSNR of these watermarked images are 44.039, 43.51 and 43.67. Compared with Wang et al.[18], it greatly increases the PSNR, by about 5.8, 4.8 and 3.9 dB respectively. For the consideration of the capacity for embedding, the maximum number of watermark bits is also increased. The experimental results show that the proposed entropy-based watermarking method performs well in JPEG compression, filtering (Gaussian filter, median filter and sharpen) and geometrical attacks (pixel shift and rotation). In addition, it is also very robust to against the multiple watermark attack.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.10.3313/_p
Salinan
@ARTICLE{e91-b_10_3313,
author={Gin-Der WU, Pang-Hsuan HUANG, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Entropy Based Image Watermarking in Wavelet Domain},
year={2008},
volume={E91-B},
number={10},
pages={3313-3325},
abstract={In this paper, we proposed a novel entropy-based image watermarking method in wavelet domain. Unlike traditional entropy, we use the normalized energy instead of the probability which is called energy-based entropy (EBE). Based on EBE, the watermark can be embedded robustly and imperceptibly. In our proposed method, the wavelet-trees are grouped into super-trees. Then each super-tree is also divided into five sub-blocks. According to the watermark bit state, the EBE of each sub-block will be modified respectively. In an experiment, three images (Lenna, Goldhill and Peppers) are chosen for evaluating the performance. The PSNR of these watermarked images are 44.039, 43.51 and 43.67. Compared with Wang et al.[18], it greatly increases the PSNR, by about 5.8, 4.8 and 3.9 dB respectively. For the consideration of the capacity for embedding, the maximum number of watermark bits is also increased. The experimental results show that the proposed entropy-based watermarking method performs well in JPEG compression, filtering (Gaussian filter, median filter and sharpen) and geometrical attacks (pixel shift and rotation). In addition, it is also very robust to against the multiple watermark attack.},
keywords={},
doi={10.1093/ietcom/e91-b.10.3313},
ISSN={1745-1345},
month={October},}
Salinan
TY - JOUR
TI - A Novel Entropy Based Image Watermarking in Wavelet Domain
T2 - IEICE TRANSACTIONS on Communications
SP - 3313
EP - 3325
AU - Gin-Der WU
AU - Pang-Hsuan HUANG
PY - 2008
DO - 10.1093/ietcom/e91-b.10.3313
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2008
AB - In this paper, we proposed a novel entropy-based image watermarking method in wavelet domain. Unlike traditional entropy, we use the normalized energy instead of the probability which is called energy-based entropy (EBE). Based on EBE, the watermark can be embedded robustly and imperceptibly. In our proposed method, the wavelet-trees are grouped into super-trees. Then each super-tree is also divided into five sub-blocks. According to the watermark bit state, the EBE of each sub-block will be modified respectively. In an experiment, three images (Lenna, Goldhill and Peppers) are chosen for evaluating the performance. The PSNR of these watermarked images are 44.039, 43.51 and 43.67. Compared with Wang et al.[18], it greatly increases the PSNR, by about 5.8, 4.8 and 3.9 dB respectively. For the consideration of the capacity for embedding, the maximum number of watermark bits is also increased. The experimental results show that the proposed entropy-based watermarking method performs well in JPEG compression, filtering (Gaussian filter, median filter and sharpen) and geometrical attacks (pixel shift and rotation). In addition, it is also very robust to against the multiple watermark attack.
ER -