Dual watermarking based on DCT with human visual characteristics for authentication and copyright protection

Nowadays, multimedia contents like images are easily distributed globally because of the widespread usage of information and communication technologies. Digital watermarking is an approach to prevent attacks or modification on images that might lead to serious problems like spreading of fake news, i...

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Main Authors: Ernawan, Ferda, Jie, Wong Shu, Suraya, Abu Bakar
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/41918/1/Dual%20watermarking%20based%20on%20DCT%20with%20human%20visual.pdf
http://umpir.ump.edu.my/id/eprint/41918/2/Dual%20watermarking%20based%20on%20DCT%20with%20human%20visual%20characteristics%20for%20authentication%20and%20copyright%20protection_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41918/
https://doi.org/0.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361313
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spelling my.ump.umpir.419182024-08-30T00:17:10Z http://umpir.ump.edu.my/id/eprint/41918/ Dual watermarking based on DCT with human visual characteristics for authentication and copyright protection Ernawan, Ferda Jie, Wong Shu Suraya, Abu Bakar QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) Nowadays, multimedia contents like images are easily distributed globally because of the widespread usage of information and communication technologies. Digital watermarking is an approach to prevent attacks or modification on images that might lead to serious problems like spreading of fake news, image piracy and illegal distribution of images. This research presents dual image watermarking based on human visual characteristics for authentication and copyright protection. The scheme aims to embed a watermark by modifying $U$ coefficients of DCT-SVD with minimal distortion to the human eye. Additionally, the scheme demonstrates embedding authentication bits in the LSB for efficient tamper localization, enabling the detection of modifications made to the original image. The experimental results validate the effectiveness of the proposed scheme, showcasing superior performance in terms of imperceptibility, robustness, and tamper localization compared to existing watermarking schemes subjected to the same attacks. The scheme's ability to embed undetectable watermarks ensures copyright protection and authenticity verification, while its robustness against various image processing attacks. The proposed scheme offers a reliable approach for securing digital image content by ensuring imperceptibility, robustness, and tamper localization. Institute of Electrical and Electronics Engineers Inc. 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41918/1/Dual%20watermarking%20based%20on%20DCT%20with%20human%20visual.pdf pdf en http://umpir.ump.edu.my/id/eprint/41918/2/Dual%20watermarking%20based%20on%20DCT%20with%20human%20visual%20characteristics%20for%20authentication%20and%20copyright%20protection_ABS.pdf Ernawan, Ferda and Jie, Wong Shu and Suraya, Abu Bakar (2023) Dual watermarking based on DCT with human visual characteristics for authentication and copyright protection. In: 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Tec. 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber , 14 - 17 November 2023 , Abu Dhabi. pp. 659-664. (195843). ISBN 979-835030460-2 (Published) https://doi.org/0.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361313
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Ernawan, Ferda
Jie, Wong Shu
Suraya, Abu Bakar
Dual watermarking based on DCT with human visual characteristics for authentication and copyright protection
description Nowadays, multimedia contents like images are easily distributed globally because of the widespread usage of information and communication technologies. Digital watermarking is an approach to prevent attacks or modification on images that might lead to serious problems like spreading of fake news, image piracy and illegal distribution of images. This research presents dual image watermarking based on human visual characteristics for authentication and copyright protection. The scheme aims to embed a watermark by modifying $U$ coefficients of DCT-SVD with minimal distortion to the human eye. Additionally, the scheme demonstrates embedding authentication bits in the LSB for efficient tamper localization, enabling the detection of modifications made to the original image. The experimental results validate the effectiveness of the proposed scheme, showcasing superior performance in terms of imperceptibility, robustness, and tamper localization compared to existing watermarking schemes subjected to the same attacks. The scheme's ability to embed undetectable watermarks ensures copyright protection and authenticity verification, while its robustness against various image processing attacks. The proposed scheme offers a reliable approach for securing digital image content by ensuring imperceptibility, robustness, and tamper localization.
format Conference or Workshop Item
author Ernawan, Ferda
Jie, Wong Shu
Suraya, Abu Bakar
author_facet Ernawan, Ferda
Jie, Wong Shu
Suraya, Abu Bakar
author_sort Ernawan, Ferda
title Dual watermarking based on DCT with human visual characteristics for authentication and copyright protection
title_short Dual watermarking based on DCT with human visual characteristics for authentication and copyright protection
title_full Dual watermarking based on DCT with human visual characteristics for authentication and copyright protection
title_fullStr Dual watermarking based on DCT with human visual characteristics for authentication and copyright protection
title_full_unstemmed Dual watermarking based on DCT with human visual characteristics for authentication and copyright protection
title_sort dual watermarking based on dct with human visual characteristics for authentication and copyright protection
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/41918/1/Dual%20watermarking%20based%20on%20DCT%20with%20human%20visual.pdf
http://umpir.ump.edu.my/id/eprint/41918/2/Dual%20watermarking%20based%20on%20DCT%20with%20human%20visual%20characteristics%20for%20authentication%20and%20copyright%20protection_ABS.pdf
http://umpir.ump.edu.my/id/eprint/41918/
https://doi.org/0.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361313
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score 13.235362