ROBUST WATERMARKING METHOD TO SECURE MEDICAL IMAGES APPLIED TO EHEALTH

被引:1
作者
Daham, Abderrahmane [1 ]
Ouslim, Mohamed [1 ]
Hafed, Yassine [2 ]
Djaber, Walid [2 ]
机构
[1] Univ Sci & Technol Oran, Dept Elect, BP 1505, El Mnaouar 31000, Bir El Djir, Algeria
[2] Univ Bechar, Dept Informat, BP 417 Route Kenadsa, Bechar 08000, Algeria
来源
2022 13TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION SYSTEMS (ICICS) | 2022年
关键词
Watermarking; medical image; discrete wavelet transform; singular value decomposition; Arnold Transform; e-health; chaos; hessenberg Decomposition;
D O I
10.1109/ICICS55353.2022.9811160
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper propose a new robust watermarking scheme for medical images using a hybrid combination of the three methods, HD (hessenberg Decomposition) and SVD (Singular value decomposition) and an original crypto system based on the Arnold Transform (AT) of Singular Value Decomposition (SVD). In order to spread the robustness of our algorithm and provide extra security, an improved SVD-AT embedding and extraction procedure has been used to scramble the watermark logo in the preprocessing step of the proposed method. In the process of watermark embedding, an R-level discrete wavelet transform was applied to the host image. The low frequency wavelet coefficients are selected to carry this scrambled-watermark. The proposed watermarking method endures entirety attacks and rightly extracts the hidden watermark without significant degradation in the image quality, thus, when the Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) performance of the proposed algorithm is performed.
引用
收藏
页码:379 / 385
页数:7
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