Information hiding using a coded aperture as a key

Tomoki Minamata, Shoma Ishida, Hiroki Hamasaki, Hiroshi Kawasaki, Hajime Nagahara, Satoshi Ono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a visual information hiding technique using coded apertures as a key. In general, a watermark embedded as high-frequency components is difficult to extract if it is captured outside of the focal rength and defocus blur occurs. Installation of a coded aperture (CA) into the camera is a simple solution to mitigate the difficulty and several attempts are conducted to make better design for stable extraction. To the contrary, our motivation is to design a specific CA as well as information hiding scheme, where secret information can be decoded only if an image with hidden information is captured with the key aperture whose characteristic is matched with the information hiding scheme. The proposed technique designs the key aperture patterns and information hiding scheme through evolutionary multi-objective optimization so as to minimize the decryption error of a hidden image when using the key aperture while minimizing the accuracy when using other apertures. Experimental results have shown that the proposed information hiding technique was more secure than a password-based system which uses case-insensitive eight alphanumeric characters.

Original languageEnglish
Title of host publicationProceedings of MVA 2021 - 17th International Conference on Machine Vision Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9784901122207
DOIs
Publication statusPublished - Jul 25 2021
Event17th International Conference on Machine Vision Applications, MVA 2021 - Aichi, Japan
Duration: Jul 25 2021Jul 27 2021

Publication series

NameProceedings of MVA 2021 - 17th International Conference on Machine Vision Applications

Conference

Conference17th International Conference on Machine Vision Applications, MVA 2021
Country/TerritoryJapan
CityAichi
Period7/25/217/27/21

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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