Data Protection of Multimedia Content for E-Learning Using Discrete Wavelet Transform

DOI

10.2991/aisr.k.201029.051How to use a DOI?

Keywords

copyright protection, watermarking, e-learning, wavelet transform, quality metrics, PSNR

Abstract

The issues of assessment of images watermarking using discrete wavelet transform in the e-learning system is considered in the article. A digital watermark is primarily hidden data that is embedded inside a digital image, video, audio, or any other digital container. If the container with the embedded watermark was stolen, then the watermark will be present in it, which will help to track the fact of illegal distribution of the protected digital document or confirm the rights of the original owner. An attacker may try to remove a watermark to illegally assign a digital document. Therefore, one of the tasks when implementing a watermark is to ensure its resistance to removal. Embedding is performed in the low-frequency domain of the wavelet spectrum. The experimental results are showing the possibility of using the considered image watermarking method for solving data protection of multimedia content problems are presented. The application of the implemented method under consideration for use in conjunction with modern compression formats is justified.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Andrey Zemtsov
PY  - 2020
DA  - 2020/11/10
TI  - Data Protection of Multimedia Content for E-Learning Using Discrete Wavelet Transform
BT  - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
PB  - Atlantis Press
SP  - 268
EP  - 273
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.201029.051
DO  - 10.2991/aisr.k.201029.051
ID  - Zemtsov2020
ER  -