东华大学学报（英文版）2005，Vol.22Issue(5)：53-58,6.
Rotation, Scaling and Translation Invariant Blind Image Watermarking Scheme Utilizing Zernike Moments
Rotation, Scaling and Translation Invariant Blind Image Watermarking Scheme Utilizing Zernike Moments
WU Jian-zhen 1XIE Jian-ying1
作者信息
- 1. Dept.of automation, Shanghai Jiaotong University, Shanghai 200030
- 折叠
摘要
Abstract
A novel adaptive blind image watermarking scheme resistant to Rotation, scaling and translation (RST) attacks is proposed in this paper. Based on fuzzy clustering theory and Human visual system (HVS) model, the spread spectrum watermark is adaptively embedded in Discrete wavelet transform (DWT) domain. In order to register RST transform parameters, a hierarchical neural network is utilized to learn image geometric pattern represented by low order Zernike moments. Watermark extraction is carried out after watermarked image has been synchronized without original image. It only needs a trained neural network.Experiments show that it can embed more robust watermark under certain visual distance, effectively resist Joint photographic experts group (JPEG) compression, noise and RST attacks.关键词
digital watermarking/RST attacks/Zernike moments/hierarchical neural networkKey words
digital watermarking/RST attacks/Zernike moments/hierarchical neural network分类
信息技术与安全科学引用本文复制引用
WU Jian-zhen,XIE Jian-ying..Rotation, Scaling and Translation Invariant Blind Image Watermarking Scheme Utilizing Zernike Moments[J].东华大学学报（英文版）,2005,22(5):53-58,6.
