摘要
变换域水印算法对压缩、噪音和滤波等攻击具有较好的鲁棒性,但水印算法对仿射变换攻击的抵抗力较差,提出了基于奇异值分解的自适应水印算法,首先根据人眼视觉模型,利用小波变换的能量特性做水印容量自适应分析,然后分块嵌入具有不同能量因子的水印,既保证了水印的嵌入量又增强了其鲁棒性。最后采用能量统计技术对提取的水印作误差校正,有效地解决了提取水印对角线明显失真的问题。仿真试验表明,算法不仅对剪切、滤波和噪声等攻击有较强的鲁棒性,对各种仿射变换也有非常好的抵抗力。
The watermark algorithm in transform domain is robust to compression, noise and filtering. However, this kind of watermark algorithm is sensitive to affine transform. In this paper, an auto -adaptive watermarking algorithm based on SVD is proposed. The wavelet transform is used to analyze the watermark capacity according to HVS. Then the block technique is used to embed watermark into image＇s singular values with different intensity repeatedly. The method enlarges the embedding capacity and enhances the robustness of watermark. Finally, error correction is performed to the extracted watermark according to energy distribution of the extracted watermark. Simulation results show that the proposed algorithm has an excellent behavior in resisting affine transforms and withstanding cutting, filtering and noise.
出处
《计算机仿真》
CSCD
2008年第8期109-112,共4页
Computer Simulation
基金
国家自然科学基金资助项目(40404003)
关键词
数字水印
奇异值分解
自适应
仿射变换
Digital watermarking
Singular value decomposition
Auto - adaptive
Affine transform
