摘要
现有BTC图像水印方案多为脆弱水印技术或数据隐藏技术,不能应用于数字图像版权保护。为保护数字电视实时通信图像版权,结合Haar小波变换,提出一种稳健的BTC域图像水印算法。算法首先对载体图像BTC域两重建电平进行Haar小波变换,然后通过修改低频系数以嵌入稳健水印。水印提取时无须原始载体图像参与。仿真实验表明,算法具有较好的水印透明性与稳健性,对通常的低通滤波、噪声叠加、亮度调整、直方图均衡、JPEG压缩等图像处理攻击具有较高的稳健性,并且具有比同类算法平均高11 kbyte以上的隐藏容量。
Most existing BTC image watermarking schemes belong to fragile watermarking technique or data hiding technology, and cannot be used for copyright protection. To protect the copyright of digital image in real-time communication fields, a robust BTC image watermarking algorithm is proposed by the use of Haar wavelet. Firstly, the Haar wavelet transform is applied to two reconstruction levels of original BTC image. Secondly, the watermark bits are embedded into the host BTC image by modifying the low frequency coefficients. Original BTC image is not needed during watermark extraction. Simulation results show that the proposed algorithm has good transparency and robustness, and can resist some common image processing attacks such as low pass filtering, noise addition, luminance adjustment, histogram equalization, JPEG compression, and have 11 kbyte higher hiding capacity than existing related methods.
出处
《电视技术》
北大核心
2011年第17期12-14,共3页
Video Engineering
基金
国家自然科学基金项目(61070194)
国家发改委信息安全专项(NDRC[2009]1886)
国家财政部
工信部重大科技成果转化项目(CJ[2010]341)
湖南省自然科学基金项目(09JJ3124)
关键词
块截短编码
图像水印技术
HAAR小波
稳健性
block truncation coding
image watermarking technique
Haar wavelet
robustness
