A new watermarking scheme for digital videos using DCT

Author:

Al-Gindy Ahmed1,Omar Aya Al-Chikh2,Mashal Omar1,Shaker Yomna3,Alhogaraty Eslam4,Moussa Sherif1

Affiliation:

1. Department of Electrical Engineering, Canadian University Dubai , City Walk , Dubai , 117781 , United Arab Emirates

2. Department of Electrical Engineering, University of Sharjah , Sharjah , UAE

3. Department of Electrical Engineering, University of Science and Technology of Fujairah , Fujairah , United Arab Emirates

4. Department of Electrical Engineering, Al Dar University College , Dubai , United Arab Emirates

Abstract

Abstract With the advent of high-speed broadband Internet access, the need to protect digital videos is highly recommended. The main objective of this study is to propose an adaptive algorithm for watermarked digital videos in the frequency domain based on discrete cosine transform (DCT). The watermark signature image is embedded into the whole frame of the video. The green channel of the RGB frame is selected for the embedding process using the DCT algorithm as it shows the recommended quality of the watermarked frames. The experiment results indicate that the proposed algorithm shows robustness and high quality of the watermarked videos by testing various strength values for different videos. It offers resistance against different types of attacks.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Robust and Imperceptible Dark Frame Selection Using Advanced Squeezed Convoluted Ebola Neural Network-Based Video Watermarking Scheme with All Phase Discrete Cosine Biorthogonal Transform;International Journal of Pattern Recognition and Artificial Intelligence;2023-10

2. Digital Video Technology and Image Detection Algorithms in Film and Television Post-Production;2023 IEEE International Conference on Control, Electronics and Computer Technology (ICCECT);2023-04-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3