A high capacity reversible multiple watermarking scheme for medical images

2011 ◽  
Author(s):  
Behrang Mehrbany Irany ◽  
Xin Cindy Guo ◽  
Dimitrios Hatzinakos
Keyword(s):  
Medical Images ◽  
High Capacity ◽  
Multiple Watermarking ◽  
Watermarking Scheme

A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images

2018 ◽  
Vol 33 (01) ◽  
pp. 1950001 ◽  
Author(s):  
Xin Zhong ◽  
Frank Y. Shih
Keyword(s):  
Medical Image ◽  
Medical Images ◽  
Saliency Detection ◽  
High Capacity ◽  
Detection Algorithm ◽  
Cross Sectional ◽  
Shape Decomposition ◽  
Image Fidelity ◽  
Embedded Image ◽  
Watermarking Scheme

We present a high-capacity reversible, fragile, and blind watermarking scheme for medical images in this paper. A bottom-up saliency detection algorithm is applied to automatically locate the multiple arbitrarily-shaped regions of interest (ROIs). The iterative square-production algorithm is developed to generate different sizes of squares for shape decomposition on the regions of noninterest (RONIs). This scheme of combining the frequency-domain watermarking and arbitrarily-shaped ROI methods can significantly increase the watermarking capacity, whereas the embedded image fidelity is preserved. Extensive experiments were carried out on the OASIS medical image dataset, which consists of a cross-sectional collection of 416 subjects, aged from 18 to 96 years old. The results show that the proposed scheme outperforms six existing state-of-the-art schemes in terms of watermarking capacity and embedded image fidelity.

scholarly journals Multiple Watermarking Scheme for Video & Image for Authentication & Copyright Protection

2021 ◽  
Vol 1131 (1) ◽  
pp. 012020
Author(s):  
Neha Janu ◽  
Ankit Kumar ◽  
Pankaj Dadheech ◽  
Gajanand Sharma ◽  
Ashutosh Kumar ◽  
...  
Keyword(s):  
Copyright Protection ◽  
Video Image ◽  
Multiple Watermarking ◽  
Watermarking Scheme

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
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