multiple watermarking
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2021 ◽  
Vol 1131 (1) ◽  
pp. 012020
Author(s):  
Neha Janu ◽  
Ankit Kumar ◽  
Pankaj Dadheech ◽  
Gajanand Sharma ◽  
Ashutosh Kumar ◽  
...  

Author(s):  
Muhammad Usman Shoukat ◽  
Uzair Aslam Bhatti ◽  
Yang Yiqiang ◽  
Anum Mehmood ◽  
Saqib Ali Nawaz ◽  
...  

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.


Author(s):  
Noruhida Alias ◽  
Ferda Ernawan

<span>The multiple watermarking technique has drawn more attention due to high demand for embedding more than one copyright. This paper proposes a multiple watermarking scheme using DWT-SVD by utilizing HVS characteristics. Our scheme embeds multiple watermarks in red and blue colors. The proposed scheme examines the coefficients of U orthogonal matrix for embedding and extracting watermarks. Watermarks are scrambled by Arnold transform before embedded in the host image in order provide additional security. The optimal thresholds for red and blue colors are revealed by finding a trade-off between normalized-cross correlation and imperceptibility from quantization steps. The experimental results demonstrate that our scheme achieves high resistant under JPEG and JPEG2000 compression for both inserted watermarks. </span>


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