摘要
为了实现鲁棒水印算法的完全盲检测,提出一种自嵌入盲检测鲁棒数字水印算法。该算法对原始图像分块子图进行小波提升变换得到低频近似分量,对近似分量作非负矩阵分解得到可近似表示子块图像的基矩阵和系数矩阵;在此基础上将系数矩阵量化得到鲁棒水印序列,最后鲁棒水印序列自适应量化嵌入原始图像低频自带近似分量。实验结果表明,该方案对常见信号处理具有很强的鲁棒性,实现了鲁棒水印序列完全盲检测。
In order to achieve the perfectly blind detection of robustness watermarking algorithm, a novel self-embedding robust digital watermarking algorithm with blind detection was proposed in this paper. Firstly the original image was divided to not overlap image blocks and then decomposable coefficients were obtained by lifting-based wavelet transform in every image blocks. Secondly the low-frequency coefficients of block images were selected and then approximately represented as a product of a base matrix and a coefficient matrix using NMF. Then the feature vector represent original image was obtained by quantizing coefficient matrix, and finally the adaptive quantization of the robustness watermark was embedded in the low-frequency coefficients of LWT. Experimental results show that the scheme was robust against common signal processing attacks, meanwhile perfect blind detection was achieved.
出处
《电子技术应用》
北大核心
2014年第7期122-125,共4页
Application of Electronic Technique
关键词
数字水印
自嵌入
完全盲检测
提升小波变换
非负矩阵分解
digital watermarking
self-embedding
perfectly blind detection
lifting-based wavelet transform
non-negative matrix factorization
