A Digital Watermark Technique Based on the Wavelet Transform and Its Robustness on Image Compression and Transformation
Summary :
In this paper, we propose two methods of digital watermark for image signals based on the wavelet transform. We classify wavelet coefficients as insignificant or significant by using zerotree which is defined in the embedded zerotree wavelet (EZW) algorithm . In the first method, information data are embedded as watermark in the location of insignificant coefficients. In the second method, information data can be embedded by thresholding and modifying significant coefficients at the coarser scales in perceptually important spectral components of image signals. Information data are detected by using the position of zerotree's root and the threshold value after the wavelet decomposition of an image in which data hide. It is shown from the numerical experiments that the proposed methods can extract the watermark from images that have degraded through several common signal and geometric processing procedures.
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- IEICE TRANSACTIONS on Fundamentals Vol.E82-A No.1 pp.2-10
- Publication Date
- 1999/01/25
- Publicized
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- Type of Manuscript
- Special Section PAPER (Special Section on Cryptography and Information Security)
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Hisashi INOUE, Akio MIYAZAKI, Akihiro YAMAMOTO, Takashi KATSURA, "A Digital Watermark Technique Based on the Wavelet Transform and Its Robustness on Image Compression and Transformation" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 1, pp. 2-10, January 1999, doi: .
Abstract: In this paper, we propose two methods of digital watermark for image signals based on the wavelet transform. We classify wavelet coefficients as insignificant or significant by using zerotree which is defined in the embedded zerotree wavelet (EZW) algorithm . In the first method, information data are embedded as watermark in the location of insignificant coefficients. In the second method, information data can be embedded by thresholding and modifying significant coefficients at the coarser scales in perceptually important spectral components of image signals. Information data are detected by using the position of zerotree's root and the threshold value after the wavelet decomposition of an image in which data hide. It is shown from the numerical experiments that the proposed methods can extract the watermark from images that have degraded through several common signal and geometric processing procedures.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_1_2/_p
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@ARTICLE{e82-a_1_2,
author={Hisashi INOUE, Akio MIYAZAKI, Akihiro YAMAMOTO, Takashi KATSURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Digital Watermark Technique Based on the Wavelet Transform and Its Robustness on Image Compression and Transformation},
year={1999},
volume={E82-A},
number={1},
pages={2-10},
abstract={In this paper, we propose two methods of digital watermark for image signals based on the wavelet transform. We classify wavelet coefficients as insignificant or significant by using zerotree which is defined in the embedded zerotree wavelet (EZW) algorithm . In the first method, information data are embedded as watermark in the location of insignificant coefficients. In the second method, information data can be embedded by thresholding and modifying significant coefficients at the coarser scales in perceptually important spectral components of image signals. Information data are detected by using the position of zerotree's root and the threshold value after the wavelet decomposition of an image in which data hide. It is shown from the numerical experiments that the proposed methods can extract the watermark from images that have degraded through several common signal and geometric processing procedures.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - A Digital Watermark Technique Based on the Wavelet Transform and Its Robustness on Image Compression and Transformation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2
EP - 10
AU - Hisashi INOUE
AU - Akio MIYAZAKI
AU - Akihiro YAMAMOTO
AU - Takashi KATSURA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 1999
AB - In this paper, we propose two methods of digital watermark for image signals based on the wavelet transform. We classify wavelet coefficients as insignificant or significant by using zerotree which is defined in the embedded zerotree wavelet (EZW) algorithm . In the first method, information data are embedded as watermark in the location of insignificant coefficients. In the second method, information data can be embedded by thresholding and modifying significant coefficients at the coarser scales in perceptually important spectral components of image signals. Information data are detected by using the position of zerotree's root and the threshold value after the wavelet decomposition of an image in which data hide. It is shown from the numerical experiments that the proposed methods can extract the watermark from images that have degraded through several common signal and geometric processing procedures.
ER -
English
