QAM-DWT-SVD Based Watermarking Scheme for Medical Images

TitleQAM-DWT-SVD Based Watermarking Scheme for Medical Images
Publication TypeJournal Article
Year of Publication2018
AuthorsAyad, H., and M. Khalil
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueRegular Issue
Volume5
Number3
Date Published12/2018
Pagination81-89
Abstract

This paper presents a new semi-blind image watermarking system for medical applications. The new scheme utilizes Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) to embed a textual data into original medical images. In particular, text characters are encoded by a Quadrature Amplitude Modulation (QAM-16). In order to increase the security of the system and protect then the watermark from several attacks, the embedded data is submitted to Arnold Transform before inserting it into the host medical image. To evaluate the performances of the scheme, several medical images have been used in the experiments. Simulation results show that the proposed watermarking system ensures good imperceptibility and high robustness against several attacks.

KeywordsArnold Transform, Discrete Wavelet Transforms, Medical Images, Quadrature Amplitude Modulation, Security, Singular Value Decomposition, Watermarking
DOI10.9781/ijimai.2018.01.001
URLhttp://www.ijimai.org/journal/sites/default/files/files/2018/01/ijimai_5_3_9_pdf_17617.pdf
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ijimai_5_3_9.pdf2 MB