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Data Hiding Lab (Hirohisa Hioki)
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A lab that studies techniques for hiding invisible information in images and audio.

AboutAbout the lab
Hiding data inside data.
The Hioki Lab studies media information processing and information visualization, with a focus on data hiding.
Data hiding is a technique for concealing and embedding other data in images, audio, and similar content, and it is expected to be applied to areas such as copyright protection.
Undergraduates are assigned to the Division of Mathematical and Information Sciences and carry out graduation research there (for graduate students, this is the Division of Mathematical and Information Sciences in the Department of Human and Environmental Studies, Graduate School of Human and Environmental Studies).
Key terms
- Data hiding
- A technique for embedding other information inconspicuously in digital data such as images and audio
- Digital watermarking
- A technique for embedding information such as the copyright holder's details in content so that unauthorized copies can be identified
ResearchResearch themes
The lab studies data hiding, which conceals information in digital content, as well as systems that handle various kinds of media, and information visualization.
View More ↗MembersFaculty
- ProfessorHirohisa Hioki
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Lsb-example” ribagorda garnacho / CC BY-SA 3.0 (cropped)
- Data Hiding Methods and Applications: “HP Color Laserjet 3700 schutz g” Florian Heise, Druckerchannel.de / Public domain (cropped)
- Related lab (中性原子の
レーザー冷却・トラッピング (捕獲) (木下 俊哉) ): “QuEra Aquila Magneto-Optical Trap” QuEra Computing, Inc. / CC BY 4.0 (cropped) - Related lab (数理物理学
(足立 匡義) ): “Interference of Waves” Psgs123xyz / Public domain (cropped) - Related lab (確率解析学(上木 直昌)
): “Random walk simulation” Sławomir Biały / CC BY-SA 4.0 (cropped)
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