A High-Capacity Annotation Watermarking Scheme

2011 ◽  
pp. 1-9 ◽  
Author(s):  
Paweł Korus ◽  
Jarosław Białas ◽  
Piotr Olech ◽  
Andrzej Dziech
Keyword(s):  
High Capacity ◽  
Watermarking Scheme

A Lossless Watermarking for 3D STL Model Based on Entity Rearrangement and Bit Mapping

2017 ◽  
Vol 9 (2) ◽  
pp. 25-37 ◽  
Author(s):  
Juan Chen ◽  
Fei Peng ◽  
Jie Li ◽  
Min Long
Keyword(s):  
Copyright Protection ◽  
High Capacity ◽  
Good Efficiency ◽  
Stl Model ◽  
Optimal Capacity ◽  
Secret Communication ◽  
Content Security ◽  
Lossless Watermarking ◽  
Bit Mapping ◽  
Watermarking Scheme

With the wide application of 3D STL model in 3D printing, much attention has been paid to its content security and copyright protection. Based on entity rearrangement and bit mapping, a lossless and high capacity watermarking scheme is proposed for 3D STL model. Experimental results and analysis show that the average capacity is improved 0.71bits/facet compared with the original entity rearrangement method, and the capacity is 0.247 bits/entity larger than that of the optimal capacity of the standard entity rearrangement method. It can achieve good efficiency and it is robust against translation, rotation and even scaling. It has potential application in secret communication and copyright protection of 3D STL model.

A high-capacity audio watermarking scheme in the time domain based on multiple embedding

2013 ◽  
Vol 30 (4) ◽  
pp. 286 ◽  
Author(s):  
Md.Rifat Shahriar ◽  
Sangbock Cho ◽  
Uipil Chong ◽  
Sangjin Cho
Keyword(s):  
Time Domain ◽  
High Capacity ◽  
Audio Watermarking ◽  
The Time Domain ◽  
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.

A high capacity image adaptive watermarking scheme with radial harmonic Fourier moments

2013 ◽  
Vol 23 (5) ◽  
pp. 1470-1482 ◽  
Author(s):  
Chandan Singh ◽  
Sukhjeet K. Ranade
Keyword(s):  
High Capacity ◽  
Adaptive Watermarking ◽  
Watermarking Scheme

scholarly journals High Capacity Reversible Watermarking Scheme for 2D Vector Maps

2015 ◽  
Author(s):  
Xiaowei Jing ◽  
Mei Feng ◽  
Biao Guo ◽  
Liang Chen ◽  
Youjian Zhao ◽  
...  
Keyword(s):  
High Capacity ◽  
Reversible Watermarking ◽  
Vector Maps ◽  
Watermarking Scheme
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