中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
geometrically invariant image watermarking using svr correction in nsct domain

文献类型:会议论文

作者Yang Hong-ying ; Wang Xiang-yang ; Chen Li-li
出版日期2011
关键词Digital watermarking Image processing Mathematical transformations
页码-
英文摘要Based on the support vector regression (SVR) geometric distortions correction, we propose a robust image watermarking algorithm in nonsubsampled contourlet transform (NSCT) domain with good visual quality and reasonable resistance toward geometric attacks in this paper. Firstly, the NSCT is performed on original host image, and corresponding low-pass subband is selected for embedding watermark. Then, the selected low-pass subband is divided into small blocks. Finally, the digital watermark is embedded into host image by modulating the NSCT coefficients in small blocks. In digital watermark detecting procedure, the SVR geometrical distortions correction is utilized. Experimental results show that the proposed image watermarking is invisible, and robust against common image processing and some geometrical attacks. © 2011 Elsevier Ltd. All rights reserved.
收录类别EI
会议录Computers and Electrical Engineering
语种英语
ISSN号457906
WOS记录号WOS:000298207300007
源URL[http://124.16.136.157/handle/311060/14295]  
专题软件研究所_信息安全国家重点实验室_会议论文
推荐引用方式
GB/T 7714
Yang Hong-ying,Wang Xiang-yang,Chen Li-li. geometrically invariant image watermarking using svr correction in nsct domain[C]. 见:.

入库方式: OAI收割

来源:软件研究所

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