Improved multiple watermarking algorithm for Medical Images

Author(s):  
Muhammad Usman Shoukat ◽  
Uzair Aslam Bhatti ◽  
Yang Yiqiang ◽  
Anum Mehmood ◽  
Saqib Ali Nawaz ◽  
...  
2017 ◽  
pp. 95-124
Author(s):  
Amit Kumar Singh ◽  
Basant Kumar ◽  
Ghanshyam Singh ◽  
Anand Mohan

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

2017 ◽  
pp. 125-157 ◽  
Author(s):  
Amit Kumar Singh ◽  
Basant Kumar ◽  
Ghanshyam Singh ◽  
Anand Mohan

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

Author(s):  
Imane Assini ◽  
Abdelmajid Badri ◽  
Aicha Sahel ◽  
Abdennaceur Baghdad

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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