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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/41918/ 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 |
| _version_ | 1848826469125455872 |
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| author | Ernawan, Ferda Jie, Wong Shu Suraya, Abu Bakar |
| author_facet | Ernawan, Ferda Jie, Wong Shu Suraya, Abu Bakar |
| author_sort | Ernawan, Ferda |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:45:19Z |
| format | Conference or Workshop Item |
| id | ump-41918 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:45:19Z |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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 |
| 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 |
| title | 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_short | 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 |
| topic | QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/41918/ http://umpir.ump.edu.my/id/eprint/41918/ 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 |