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
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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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