A New Scheme to Realize the Optimum Watermark Detection for the Additive Embedding Scheme with the Spatial Domain(Application,<Special Section>Cryptography and Information Security)
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概要
- 論文の詳細を見る
A typical watermarking scheme consists of an embedding scheme and a detection scheme. In detecting a watermark, there are two kinds of detection errors, a false positive error (FPE) and a false negative error (FNE). A detection scheme is said to be optimum if the FNE probability is minimized for a given FPE probability. In this paper, we present an optimum watermark detection scheme for an additive embedding scheme with a spatial domain. The key idea of the proposed scheme is to use the differences between two brightnesses for detecting a watermark. We prove that under the same FPE probability the FNE probability of the proposed optimum detection scheme is no more than that of the previous optimum detection scheme for the additive embedding scheme with the spatial domain. Then, it is confirmed that for an actual image, the FNE probability of the proposed optimum detection scheme is much lower than that of the previous optimum detection scheme. Moreover, it is confirmed experimentally that the proposed optimum detection scheme can control the FPE probability strictly so that the FPE probability is close to a given probability.
- 社団法人電子情報通信学会の論文
- 2007-01-01
著者
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FUJIWARA Toru
Department of Applied Biological Chemistry, The University of Tokyo
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YOSHIDA Maki
Department of Hematology, Hamanomachi General Hospital
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Yoshida Maki
Department Of Anatomy And Neurobiology Kyoto Prefectural University Of Medicine:department Of Pediat
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Yoshida Maki
Department Of Multimedia Engineering Graduate School Of Information Science And Technology Osaka Uni
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Fujita Takaaki
Department Of Multimedia Engineering Graduate School Of Information Science And Technology Osaka Uni
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Fujita Takaaki
Department Of Fusion Plasma Research Japan Atomic Energy Research Institute
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Fujiwara Toru
Department Of Applied Biological Chemistry Graduate School Of Agricultural And Life Sciences The Uni
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Fujiwara Toru
Department Of Multimedia Engineering Graduate School Of Information Science And Technology Osaka Uni
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Yoshida Maki
Department of Anatomic Pathology, Tokyo Medical University
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