This thesis mainly studies adaptive digital image watermarking algorithms based on human visual system (HVS).
本文主要研究基于人眼视觉特性的自适应图像水印算法。
The results show that two kinds of image watermarking algorithms do not all have good visibility of the common image processing operations are highly robust.
结果表明两种图像水印算法均具有很好的不可见性，对常见的图像处理操作具有很强的鲁棒性。
The experiment results show that watermarking algorithms based on block SVD are very robust to usual image manipulation attacks, especially the quantization watermarking algorithm.
实验结果证明，基于块奇异值分解的水印算法对常规的图像处理攻击具有很好的鲁棒性，尤其是其中的量化水印算法。
Still image digital watermarking and information embedding algorithms are studied in this thesis.
本文研究了静态图像的数字水印和信息嵌入问题。
The third method is effective integrate the former two algorithms, which proposed dual watermarking algorithm for digital image authentication.
第三种算法是将前两种空域和变换域算法进行有效融合，从而提出了双重多功能性水印数字图像认证算法。
The main algorithms and their merits and shortcomings of video watermarking technology are introduced here. And then induced the key questions which a perfect image watermarking algorithm must solve.
介绍了图像水印技术目前所采用的主要算法及其各自的优缺点，归纳了成功的图象水印方案必须解决的关键问题。
Currently, there are many DWT (Discrete wavelet Transform) based watermarking algorithms, but few of them discuss the issue in association with fractal image coding in wavelet domain.
目前有很多基于离散小波变换(DWT)的水印算法，但结合分形编码技术的很少。
According to the digital image watermarking technology, two embedding algorithms based on DWT and corresponsive distilling algorithms are studied.
针对数字图像水印技术，比较系统地研究了基于DWT域的两种数字图像水印嵌入算法及对应的提取算法。
In view of the unique characteristics of document images, many algorithms for digital image watermarking can not be applicable for document images.
而且鉴于文档图像自身的特点，许多数字图像水印算法对文档图像并不适用。
In view of the unique characteristics of document images, many algorithms for digital image watermarking can not be applicable for document images.
而且鉴于文档图像自身的特点，许多数字图像水印算法对文档图像并不适用。
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