摘要
使用混沌映射将二进制商标的像素在空间区域中进行随机置乱,然后将置乱的信息分块嵌入在图像的DCT变换系数中。为了使水印的分布集中在图像显著的边缘特征中,提出了基于图像内容的模糊熵测度算法,水印嵌入的强度随着图像特征变化而自适应地变化。在水印的检测中,利用Kalman滤波算法对水印信息进行预测和估计,在没有原始图像数据的情况下,能够使嵌入的商标得到恢复以表明数字图像的版权。实验结果表明,所提出的方案,对于水印的嵌入及提取具有很好的效果,可作为可靠的版权保护工具而应用。
The chaotic mapping enables the logo pixels rearrange randomly in the specified spatial domain, and the mixed bits of the logo were embedded in the image DCT coefficients. To lay the watermarking information in the notable areas of the features, an algorithm of fuzzy entropy estimation was proposed. The embedding strength was characteristic adaptability with the statistic of the local feature coefficients of the original image. The logo could be detected and reconstructed by a specifically Kalman filter without the original data from the watermarked image, and would provide indication of the copyright existence. Experimental results show that the proposed scheme gives good capability and turns out to be a reliable copyright authentication tool for the digital image.
出处
《通信学报》
EI
CSCD
北大核心
2005年第6期37-41,共5页
Journal on Communications
基金
国家自然科学基金资助项目(60332030)
关键词
信息隐藏
图像水印
模糊熵
版权保护
information hiding
image watermarking
fuzzy entropy
copyright protection
