IEICE TRANSACTIONS on Fundamentals
Analysis of Watermarking Systems in the Frequency Domain and Its Application to Design of Robust Watermarking Systems
Summary :
This paper focuses on the watermarking system using a controlled quantization process. We first present a model of the watermark embedding and extracting processes and carry out their analyses. Then we examine the robustness of the watermarking system against common image processing and clarify the reason why detection errors occur in the watermark extracting process. Based on the result, we improve the watermark extracting process and design robust watermarking systems. The improvement is accomplished using a deconvolution filter and neural network techniques. Numerical experiments using the DCT-based watermarking system show good performance as expected by us.
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- IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.1 pp.117-124
- Publication Date
- 2002/01/01
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- Type of Manuscript
- Special Section PAPER (Special Section on Cryptography and Information Security)
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Akio MIYAZAKI, Akihiro OKAMOTO, "Analysis of Watermarking Systems in the Frequency Domain and Its Application to Design of Robust Watermarking Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 1, pp. 117-124, January 2002, doi: .
Abstract: This paper focuses on the watermarking system using a controlled quantization process. We first present a model of the watermark embedding and extracting processes and carry out their analyses. Then we examine the robustness of the watermarking system against common image processing and clarify the reason why detection errors occur in the watermark extracting process. Based on the result, we improve the watermark extracting process and design robust watermarking systems. The improvement is accomplished using a deconvolution filter and neural network techniques. Numerical experiments using the DCT-based watermarking system show good performance as expected by us.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_1_117/_p
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@ARTICLE{e85-a_1_117,
author={Akio MIYAZAKI, Akihiro OKAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Analysis of Watermarking Systems in the Frequency Domain and Its Application to Design of Robust Watermarking Systems},
year={2002},
volume={E85-A},
number={1},
pages={117-124},
abstract={This paper focuses on the watermarking system using a controlled quantization process. We first present a model of the watermark embedding and extracting processes and carry out their analyses. Then we examine the robustness of the watermarking system against common image processing and clarify the reason why detection errors occur in the watermark extracting process. Based on the result, we improve the watermark extracting process and design robust watermarking systems. The improvement is accomplished using a deconvolution filter and neural network techniques. Numerical experiments using the DCT-based watermarking system show good performance as expected by us.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - Analysis of Watermarking Systems in the Frequency Domain and Its Application to Design of Robust Watermarking Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 117
EP - 124
AU - Akio MIYAZAKI
AU - Akihiro OKAMOTO
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2002
AB - This paper focuses on the watermarking system using a controlled quantization process. We first present a model of the watermark embedding and extracting processes and carry out their analyses. Then we examine the robustness of the watermarking system against common image processing and clarify the reason why detection errors occur in the watermark extracting process. Based on the result, we improve the watermark extracting process and design robust watermarking systems. The improvement is accomplished using a deconvolution filter and neural network techniques. Numerical experiments using the DCT-based watermarking system show good performance as expected by us.
ER -
English
