Invisible Calibration Pattern based on Human Visual Perception
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- Takimoto Hironori
- Faculty of Computer Science and Syst. Eng., Okayama Prefectural University
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- Yoshimori Seiki
- Dept. of Media Technologies, Faculty of Eng., Nippon Bunri University
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- Mitsukura Yasue
- Graduate School of Bio-Applications and System Enginnering, Tokyo University of Agriculture and Technology
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- Fukumi Minoru
- Dept. of Information Science & Intteligent Syst., Faculty of Eng., University of Tokushima
Bibliographic Information
- Other Title
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- 人の視知覚特性に基づく視認困難なキャリブレーションパターン
- ヒト ノ シ チカク トクセイ ニ モトズク シニンコンナン ナ キャリブレーションパターン
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Description
In this paper, we propose an arrangement and detection method of an invisible calibration pattern based on characteristics of human visual perception. A calibration pattern is arranged around contents where invisible data is embedded, as some feature points between an original image and the scanned image for normalization of the scanned image. However, it is clear that conventional methods interfere with page layout and artwork of contents. Moreover, conventional visible patterns show a third person the position of embedded data. Therefore, visible calibration patterns are not suitable for security service. The most important part of human visual perception in the proposed method is the spectral luminous efficiency characteristic and the chromatic spatial frequency characteristic. In addition, a back ground color in surrounding of contents is not restricted to uniform color by using the proposed calibration pattern. It is suggest that the proposed method protect page layout and artwork.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 130 (8), 1440-1447, 2010
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204608804736
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- NII Article ID
- 10026497842
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 10766651
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed