摘要
提出了一种基于HVS和量化的自适应盲水印算法,基于HVS的视觉模型使用亮度掩蔽系数,纹理掩蔽系数,频率掩蔽系数来自适应地调整水印的嵌入强度。算法选择在DCT域,通过用JPEG量化表量化DCT系数,比较量化后的DC系数|DC|与选定的量化后的AC系数|AC|之间的关系来嵌入和提取水印,并实现了水印的盲检测。由于DCT系数基于JPEG量化表来量化,对JPEG压缩具有很好的抵抗能力,对叠加噪声、模糊等常规的图像操作也具有很好的鲁棒性。实验结果证明,该算法是一种行之有效的方法。
In this paper, a HVS-based algorithm is proposed, which embedded a binary image in DCT domain by quantifying the coefficient of DCT＇ s middle coefficients. The main idea is to adjust the embedded-intensity of coefficients of the DCT＇ s domain by calculating values of texture sensitivity and frequency sensitivity and intensity sensitivity. The proposed technique can actually survive several kinds of image processing such as image cropping, shifting, blurring, noise, sharpening and JPEG lossy compression. Simulation results prove the effectiveness of the algorithm.
出处
《计算机工程与应用》
CSCD
2012年第34期92-96,共5页
Computer Engineering and Applications
基金
辽宁省教育厅高等学校科学研究基金(No.2008344)
关键词
水印
人类视觉系统(HVS)
纹理
频率
亮度
量化
鲁棒性
digital watermarking
Human Visual System（HVS）
texture sensitivity
frequency sensitivity
intensity sensitivity
quantization
robustness
