基于AQIM嵌入算法实现信息隐藏技术的研究

比较目前几种信息隐藏技术,提出了一种基于自适应量化索引调制(AQIM)与信道编码实现信息隐藏通信的新方法.重点介绍了该方法在数字视频中实现指纹节点数据的自适应嵌入和检测的应用准则.最后通过实验并与一般QIM技术相比,该系统具有更强的鲁棒性和更好的图像感官质量.     

基于视觉模型的迭代AQIM水印算法

 自适应量化索引调制算法（AQIM）通过Watson视觉模型来计算量化步长,使得量化步长可以随着待量化系数自适应变化,从而获取了比传统量化索引调制算法（QIM）更好的不可见性和鲁棒性.但即使在没有干扰的情况下,该算法在检测时计算的量化步长与嵌入时计算的量化步长也不一致,这就导致水印不能够完整可靠地提取.本文在分析该算法存在问题的基础上,提出了一种改进的迭代AQIM水印方案,仿真实验表明该方案比原算法具有更好的性能.     

Multiscale Derivative Transform and Its Application to Image Watermarking

A transform that estimates the first and higher-order derivatives of images at multiple scales is proposed. The proposed transform, called Multi-Scale Derivative Transform (MSDT), is specially designed for image watermarking applications. To calculate the first and higher-order image derivatives, MSDT uses the detail wavelet coefficients of the image. Unlike traditional wavelet-based image derivative estimators that use only the horizontal and vertical wavelet coefficients, the proposed transform maps the diagonal as well as the horizontal and vertical wavelet coefficients to the horizontal and vertical derivatives of the image. The inverse transform is designed such that any change in the image derivative domain results in the minimum possible change in the wavelet coefficients. This renders a watermark, that is embedded in the derivative domain, less visible in the image domain. The application of this transform to image watermarking is discussed, and the results are compared with those obtained using traditional wavelet-based image derivative estimators.     

自适应量化索引调制及其信道编码的信息隐藏技术的研究

在信息隐藏通信时,对JPEG-2000小波多级分解并在嵌入块编码中根据不同级的LL-HH分组系数引入自适应量化索引调制(AQIM),同时结合信道编码技术可以有效地实现指纹节点数据的信息隐藏和安全传输技术.通过实验可知,低码率时,与QIM隐藏技术相比,本系统有效地提高了恢复指纹图像的PSNR,同时降低了系统的BER,表明该系统恢复的图像具有更好的感官质量和更强的鲁棒性.