Robust and Secure Multiple Watermarking for Medical Images

2017 ◽  
pp. 95-124
Author(s):  
Amit Kumar Singh ◽  
Basant Kumar ◽  
Ghanshyam Singh ◽  
Anand Mohan
Keyword(s):  
Medical Images ◽  
Multiple Watermarking

Secure and efficient health data management through multiple watermarking on medical images

2006 ◽  
Vol 44 (8) ◽  
pp. 619-631 ◽  
Author(s):  
A. Giakoumaki ◽  
S. Pavlopoulos ◽  
D. Koutsouris
Keyword(s):  
Data Management ◽  
Medical Images ◽  
Health Data ◽  
Multiple Watermarking

Hybrid NSCT domain multiple watermarking for medical images

2016 ◽  
Vol 76 (3) ◽  
pp. 3557-3575 ◽  
Author(s):  
Siddharth Singh ◽  
Vivek Singh Rathore ◽  
Rajiv Singh
Keyword(s):  
Medical Images ◽  
Multiple Watermarking

Secure Spread Spectrum Based Multiple Watermarking Technique for Medical Images

2017 ◽  
pp. 125-157 ◽  
Author(s):  
Amit Kumar Singh ◽  
Basant Kumar ◽  
Ghanshyam Singh ◽  
Anand Mohan
Keyword(s):  
Spread Spectrum ◽  
Medical Images ◽  
Multiple Watermarking

Robust and Secure Multiple Watermarking for Medical Images

2016 ◽  
Vol 92 (4) ◽  
pp. 1611-1624 ◽  
Author(s):  
Abhilasha Sharma ◽  
Amit Kumar Singh ◽  
Satya Prakash Ghrera
Keyword(s):  
Medical Images ◽  
Multiple Watermarking

Improved multiple watermarking algorithm for Medical Images

2020 ◽  
Author(s):  
Muhammad Usman Shoukat ◽  
Uzair Aslam Bhatti ◽  
Yang Yiqiang ◽  
Anum Mehmood ◽  
Saqib Ali Nawaz ◽  
...  
Keyword(s):  
Medical Images ◽  
Multiple Watermarking

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

2020 ◽  
Vol 10 (3) ◽  
pp. 2349
Author(s):  
Imane Assini ◽  
Abdelmajid Badri ◽  
Aicha Sahel ◽  
Abdennaceur Baghdad
Keyword(s):  
Medical Image ◽  
Medical Images ◽  
Singular Values ◽  
Hadamard Transform ◽  
Discrete Wavelet ◽  
Resonance Imaging ◽  
X Ray ◽  
Multiple Watermarking ◽  
Magnetic Resonance Imaging Mri ◽  
Value Decomposition

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.

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