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Hybrid multiple watermarking technique for securing medical images of modalities MRI, CT scan, and X-ray

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 10 No. 3 (2020)

DOI
10.11591/ijece.v10i3.pp2349-2356
ISSN
2088-8708, 2088-8708
Published
2020-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

In order to contribute to the security of sharing and transferring medical images, we had presented a multiple watermarking technique for multiple protections; it was based on the combination of three transformations: the discrete wavelet transform (DWT), the fast Walsh-Hadamard transform (FWHT) and, the singular value decomposition (SVD). In this paper, three watermark images of sizes 512x 512 were inserted into a single medical image of various modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and X-Radiation (X-ray). After applying DWT up to the third level on the original image, the high-resolution sub-bands were being selected subsequently to apply FWHT and then SVD. The singular values of the three watermark images were inserted into the singular values of the cover medical image. The experimental results showed the effectiveness of the proposed method in terms of quality and robustness compared to other reported techniques cited in the literature.

Collaboration network of the authors

23 authors · 56 co-authorship links · 7 across different organisations

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  • University of Hassan II Casablanca
  • Abdelmalek Essaâdi University
  • Université Hassan 1er
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Abdelhakim BalloukUniversity of Hassan II Casablanca8
Ilham El MourabitUniversity of Hassan II Casablanca4
Ikram DaanouneUniversity of Hassan II Casablanca3
Sara El MattarUniversity of Hassan II Casablanca3
Hamid BouyghfUniversity of Hassan II Casablanca3
Souad AkkaderUniversity of Hassan II Casablanca3
Btissam BoustaniUniversity of Hassan II Casablanca3
Jihane OuchrifUniversity of Hassan II Casablanca3
Abir ZaidiUniversity of Hassan II Casablanca2
Salmi HassanUniversity of Hassan II Casablanca2
Mourad ZegrariUniversity of Hassan II Casablanca2
Baghdad AbdenaceurAffiliation unknown2
Abdelhadi Eloudrhiri HassaniUniversity of Hassan II Casablanca2
Hicham QaboucheUniversity of Hassan II Casablanca2
Yassine GmihUniversité Hassan 1er1
Aziz DkiouakAbdelmalek Essaâdi University1
Nourdine HerbazUniversity of Hassan II Casablanca1
Hassan El IdrissiUniversity of Hassan II Casablanca1
Hamza SabirUniversity of Hassan II Casablanca1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Hybrid multiple watermarking technique for securing medical images of modalities MRI, CT scan, and X-ray</dc:title><dc:creator>Assini, Imane</dc:creator><dc:creator>Badri, Abdelmajid</dc:creator><dc:creator>Sahel, Aicha</dc:creator><dc:creator>Baghdad, Abdennaceur</dc:creator><dc:description>&lt;jats:p&gt;In order to contribute to the security of sharing and transferring medical images, we had presented a multiple watermarking technique for multiple protections; it was based on the combination of three transformations: the discrete wavelet transform (DWT), the fast Walsh-Hadamard transform (FWHT) and, the singular value decomposition (SVD). In this paper, three watermark images of sizes 512x 512 were inserted into a single medical image of various modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and X-Radiation (X-ray). After applying DWT up to the third level on the original image, the high-resolution sub-bands were being selected subsequently to apply FWHT and then SVD. The singular values of the three watermark images were inserted into the singular values of the cover medical image. The experimental results showed the effectiveness of the proposed method in terms of quality and robustness compared to other reported techniques cited in the literature.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2020-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v10i3.pp2349-2356</dc:identifier><dc:identifier>10.11591/ijece.v10i3.pp2349-2356</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 10 No 3 (2020); 2349</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/19553/pdf</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>