Encrypted Image Display based on Individual Visual Characteristics

Ryota Niwa, Fumihiko Sakaue, Jun Sato

2020

Abstract

In this paper, we propose an encoded image displaying system based on light field decoding by human visual systems. We focus on the difference of individual characteristics of the human visual systems, and we indicate that the difference of the characteristics makes a significant difference in the observation results. Based on the observation difference, we achieve image encoding to a light-field which can be decoded by the human who has a particular visual characteristic. To achieve the image encoding system, we construct a 5D light field display system. This 5D LF display controls the spectral distribution of the light rays as well as position and directions. By using the 5D LF display, we utilize the characteristics of the spectral sensitivity and opticalcharacteristics of the human visual system. Several experimental results show that our proposed method can disturb the observation of the general audience and provide appropriate information to a target person.

Paper Citation

in Harvard Style

Niwa R., Sakaue F. and Sato J. (2020). Encrypted Image Display based on Individual Visual Characteristics. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 386-394. DOI: 10.5220/0008967003860394

in Bibtex Style

@conference{visapp20,
author={Ryota Niwa and Fumihiko Sakaue and Jun Sato},
title={Encrypted Image Display based on Individual Visual Characteristics},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={386-394},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008967003860394},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Encrypted Image Display based on Individual Visual Characteristics
SN - 978-989-758-402-2
AU - Niwa R.
AU - Sakaue F.
AU - Sato J.
PY - 2020
SP - 386
EP - 394
DO - 10.5220/0008967003860394
PB - SciTePress