干旱区生态环境知识资源中心(Arid): A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images

Arid

DOI	10.1142/S0218001419500010
	A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images
	Zhong, Xin 1; Shih, Frank Y.1,2
通讯作者	Shih, Frank Y.
来源期刊	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
ISSN	0218-0014
EISSN	1793-6381
出版年	2019
卷号	33 期号:1
英文摘要	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.
英文关键词	Image watermarking arbitrary shape region of interest medial axis transform
类型	Article
语种	英语
国家	USA ; Taiwan
收录类别	SCI-E
WOS记录号	WOS:000447154400001
WOS类目	Computer Science, Artificial Intelligence
WOS研究方向	Computer Science
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216483
作者单位	1.New Jersey Inst Technol, Dept Comp Sci, Newark, NJ 07102 USA; 2.Asia Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan
推荐引用方式 GB/T 7714	Zhong, Xin,Shih, Frank Y.. A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images[J],2019,33(1).
APA	Zhong, Xin,&Shih, Frank Y..(2019).A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,33(1).
MLA	Zhong, Xin,et al."A High-Capacity Reversible Watermarking Scheme Based on Shape Decomposition for Medical Images".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 33.1(2019).