| 题名: | geometrically invariant image watermarking using svr correction in nsct domain |
| 作者: | Yang Hong-ying
; Wang Xiang-yang
; Chen Li-li
|
| 会议文集: | Computers and Electrical Engineering
|
| 出版日期: | 2011
|
| 关键词: | Digital watermarking
; Image processing
; Mathematical transformations
|
| 收录类别: | ei
|
| ISSN: | 457906
|
| 部门归属: | (1) School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China; (2) State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (3) Network and Data Security Key Laboratory of Sichuan Province, Chengdu 611731, China
|
| 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. |
| 语种: | 英语
|
| Citation statistics: |
|
| 内容类型: | 会议论文
|
| URI标识: | http://ir.iscas.ac.cn/handle/311060/14295
|
| Appears in Collections: | 信息安全国家重点实验室_会议论文
|
| File Name/ File Size |
Content Type |
Version |
Access |
License |
|
|---|
| geometrically invariant image watermarking using svr correction in nsct domain.pdf（2913KB） | -- | -- | 限制开放 | -- | 联系获取全文 |
|
| Recommended Citation: | |
Yang Hong-ying,Wang Xiang-yang,Chen Li-li. geometrically invariant image watermarking using svr correction in nsct domain[C]. 见:.
|
|
|
