Digital Watermarking for Recovering Attack Areas of Medical Images using Spiral Numbering
Medical image is seen as one of crucial data that demand for authentication method in order to ensure that data has not been tampered. This paper has conducted a research proposing a recovery feature in an authentication watermark with spiral manner numbering, which shows a good numbering system of...
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ump-58062018-05-02T03:20:32Z http://umpir.ump.edu.my/id/eprint/5806/ Digital Watermarking for Recovering Attack Areas of Medical Images using Spiral Numbering Syifak Izhar, Hisham Afifah Nailah, Muhamad Jasni, Mohamad Zain Badshah, Gran Nurul Wahidah, Arshad QA75 Electronic computers. Computer science Medical image is seen as one of crucial data that demand for authentication method in order to ensure that data has not been tampered. This paper has conducted a research proposing a recovery feature in an authentication watermark with spiral manner numbering, which shows a good numbering system of embedding. The schema is a fragile, blind watermarking. The operating time taken is short and the result is very promising with high PeakSignal-to-Noise-Ratio(PSNR)value and low Mean-Squared Error(MSE). IEEE 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5806/1/06718284.pdf Syifak Izhar, Hisham and Afifah Nailah, Muhamad and Jasni, Mohamad Zain and Badshah, Gran and Nurul Wahidah, Arshad (2013) Digital Watermarking for Recovering Attack Areas of Medical Images using Spiral Numbering. In: Proceeding of International Conference on Electronics, Computer and Computation (ICECCO 2013), 7-9 November 2013 , Ankara. pp. 285-288.. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6718284&tag=1 10.1109/ICECCO.2013.6718284 |
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QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Syifak Izhar, Hisham Afifah Nailah, Muhamad Jasni, Mohamad Zain Badshah, Gran Nurul Wahidah, Arshad Digital Watermarking for Recovering Attack Areas of Medical Images using Spiral Numbering |
description |
Medical image is seen as one of crucial data that demand for authentication method in order to ensure that data has not been tampered. This paper has conducted a research proposing a recovery feature in an authentication watermark with spiral manner numbering, which shows a good numbering system of embedding. The schema is a fragile, blind watermarking. The operating time taken is short and the result is very promising with high PeakSignal-to-Noise-Ratio(PSNR)value and low Mean-Squared Error(MSE). |
format |
Conference or Workshop Item |
author |
Syifak Izhar, Hisham Afifah Nailah, Muhamad Jasni, Mohamad Zain Badshah, Gran Nurul Wahidah, Arshad |
author_facet |
Syifak Izhar, Hisham Afifah Nailah, Muhamad Jasni, Mohamad Zain Badshah, Gran Nurul Wahidah, Arshad |
author_sort |
Syifak Izhar, Hisham |
title |
Digital Watermarking for Recovering Attack Areas of Medical Images using Spiral Numbering |
title_short |
Digital Watermarking for Recovering Attack Areas of Medical Images using Spiral Numbering |
title_full |
Digital Watermarking for Recovering Attack Areas of Medical Images using Spiral Numbering |
title_fullStr |
Digital Watermarking for Recovering Attack Areas of Medical Images using Spiral Numbering |
title_full_unstemmed |
Digital Watermarking for Recovering Attack Areas of Medical Images using Spiral Numbering |
title_sort |
digital watermarking for recovering attack areas of medical images using spiral numbering |
publisher |
IEEE |
publishDate |
2013 |
url |
http://umpir.ump.edu.my/id/eprint/5806/ http://umpir.ump.edu.my/id/eprint/5806/ http://umpir.ump.edu.my/id/eprint/5806/ http://umpir.ump.edu.my/id/eprint/5806/1/06718284.pdf |
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2023-09-18T22:01:12Z |
last_indexed |
2023-09-18T22:01:12Z |
_version_ |
1777414410239737856 |