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A robust multi-watermarking algorithm for medical images based on DTCWT-DCT and Henon map

A robust multi-watermarking algorithm for medical images based on DTCWT-DCT and Henon map

Liu, Jing, Li, Jingbing ORCID: 0000-0002-9031-6433, Ma, Jixin, Sadiq, Naveed, Bhatti, Uzair and Ai, Yang (2019) A robust multi-watermarking algorithm for medical images based on DTCWT-DCT and Henon map. Applied Sciences, 9 (4):700. ISSN 2076-3417 (doi:https://doi.org/10.3390/app9040700)

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24383 MA_Robust_Multi-watermarking_Algorithm_For_Medical_Images_Based_On_DTCWT-DCT_Henon_Map_(OA)_2019.pdf - Published Version
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Abstract

To resolve the contradiction between existing watermarking methods—which are not compatible with the watermark’s ability to resist geometric attacks—and robustness, a robust multi-watermarking algorithm suitable for medical images is proposed. First, the visual feature vector of the medical image was obtained by dual-tree complex wavelet transform and discrete cosine transform (DTCWT-DCT) to perform multi-watermark embedding and extraction. Then, the multi-watermark was pre-processed using the Henon map chaotic encryption technology to strengthen the security of watermark information, and combined with the concept of zero watermark to make the watermark able to resist both conventional and geometric attacks. Experimental results show that the proposed algorithm can effectively extract watermark information; it implements zero watermarking and blind extraction. Compared with existing watermark technology, it has good performance in terms of its robustness and resistance to geometric attacks and conventional attacks, especially in geometric attacks.

Item Type: Article
Uncontrolled Keywords: henon map, multi-watermarking, DTCWT-DCT, robustness
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > Centre for Computer & Computational Science
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 26 Nov 2020 22:34
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/24383

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