A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection
This work presents a blind watermarking technique based on a psychovisual threshold for a robust copyright protection. Psychovisual threshold can provide a trade-off between imperceptibility and robustness of the watermark. This paper proposes a new watermarking scheme where watermarks are embedded...
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ump-211322018-09-25T08:47:25Z http://umpir.ump.edu.my/id/eprint/21132/ A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection Ernawan, Ferda M. Nomani, Kabir Zuriani, Mustaffa QA75 Electronic computers. Computer science QA76 Computer software This work presents a blind watermarking technique based on a psychovisual threshold for a robust copyright protection. Psychovisual threshold can provide a trade-off between imperceptibility and robustness of the watermark. This paper proposes a new watermarking scheme where watermarks are embedded on some selected coefficients of DCT frequencies considering psychovisual threshold. The embedding regions are determined using a modified entropy to indicate less distortion areas. Furthermore, the watermark image is scrambled before embedding to provide additional security. The proposed scheme is tested under different types of signal-processing and geometric attack. The experimental results show that our scheme produces higher imperceptibility and robustness of the watermark than the existing schemes. IEEE 2018-05-10 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/21132/1/08356354.pdf Ernawan, Ferda and M. Nomani, Kabir and Zuriani, Mustaffa (2018) A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection. In: 12th International Conference for Internet Technology and Secured Transactions (ICITST), 2017, 11-14 December 2017 , Cambridge, United Kingdom. pp. 92-97.. ISBN 9781908320933 (online) https://ieeexplore.ieee.org/document/8356354/ |
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English |
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QA75 Electronic computers. Computer science QA76 Computer software |
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QA75 Electronic computers. Computer science QA76 Computer software Ernawan, Ferda M. Nomani, Kabir Zuriani, Mustaffa A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection |
description |
This work presents a blind watermarking technique based on a psychovisual threshold for a robust copyright protection. Psychovisual threshold can provide a trade-off between imperceptibility and robustness of the watermark. This paper proposes a new watermarking scheme where watermarks are embedded on some selected coefficients of DCT frequencies considering psychovisual threshold. The embedding regions are determined using a modified entropy to indicate less distortion areas. Furthermore, the watermark image is scrambled before embedding to provide additional security. The proposed scheme is tested under different types of signal-processing and geometric attack. The experimental results show that our scheme produces higher imperceptibility and robustness of the watermark than the existing schemes. |
format |
Conference or Workshop Item |
author |
Ernawan, Ferda M. Nomani, Kabir Zuriani, Mustaffa |
author_facet |
Ernawan, Ferda M. Nomani, Kabir Zuriani, Mustaffa |
author_sort |
Ernawan, Ferda |
title |
A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection |
title_short |
A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection |
title_full |
A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection |
title_fullStr |
A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection |
title_full_unstemmed |
A blind watermarking technique based on DCT psychovisual threshold for a robust copyright protection |
title_sort |
blind watermarking technique based on dct psychovisual threshold for a robust copyright protection |
publisher |
IEEE |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/21132/ http://umpir.ump.edu.my/id/eprint/21132/ http://umpir.ump.edu.my/id/eprint/21132/1/08356354.pdf |
first_indexed |
2023-09-18T22:30:53Z |
last_indexed |
2023-09-18T22:30:53Z |
_version_ |
1777416277839577088 |