@article{69a6151a2a82445b8348591121572225,
title = "A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images",
abstract = "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.",
keywords = "Image watermarking, arbitrary shape, medial axis transform, region of interest",
author = "Xin Zhong and Shih, {Frank Y.}",
note = "Funding Information: B.S. from National Cheng Kung University, Tainan, Taiwan, in 1980, M.S. from State University of New York, Stony Brook, U.S.A., in 1983, and Ph.D. from Purdue Uni- versity, West Lafayette, IN, U.S.A., in 1987. He is presently a Professor in the Department of Computer Science, New Jersey Institute of Technology, Newark, New Jersey. He is also the Director of Computer Vision Laboratory. Dr. Shih held a Visiting Professor position at Princeton University, Columbia University, National Taiwan University, National Institute of Informatics, Tokyo, Conservatoire National Des Arts Et Metiers, Paris, and Nanjing University of Information Science and Technology, China. He is an internationally renowned scholar and serves as the Editor-in-Chief for the International Journal of Pattern Recognition and Arti¯cial Intelligence. Dr. Shih is currently on the editorial board of Pattern Recognition, the International Journal of Pattern Recognition and Arti¯cial Intelligence, Journal of Information Hiding and Multimedia Signal Processing, Recent Patents on Engineering, Recent Patents on Computer Science, The Open Nanoscience Journal, the International Journal of Internet Protocol Technology, the Journal of Internet Technology, ISRN Signal Processing, and ISRN Machine Vision. He has served as a steering member, committee member, and session chair for numerous professional conferences and workshops. He has received numerous grants from National Science Foundation, Navy and Air Force, and Industry. He was the recipient of Publisher Copyright: {\textcopyright} 2019 World Scientific Publishing Company.",
year = "2019",
month = jan,
day = "1",
doi = "10.1142/S0218001419500010",
language = "English (US)",
volume = "33",
journal = "International Journal of Pattern Recognition and Artificial Intelligence",
issn = "0218-0014",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "1",
}