基于奇偶量化技术的DCT域鲁棒盲视频水印

T. Nguyen, Duan Dinh Nguyen
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引用次数: 9

摘要

本文介绍并研究了一种新的鲁棒视频盲水印算法。与现有的一些基于空间域水印技术的方法不同,本文采用奇偶量化算法将单个水印图像分解后的所有位平面图像嵌入到主机视频中只选取8×8块的鲁棒离散余弦变换(DCT)系数。结果表明,该方法不仅具有较高的嵌入信息容量,而且能够获得高质量的水印视频。此外,为了获得安全性,使用密钥对嵌入的块进行置乱,并在没有主机视频的情况下提取水印图像。实验结果表明,该方法对压缩攻击和加噪攻击具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A robust blind video watermarking in DCT domain using even-odd quantization technique
In this paper, we introduce and investigate a new robust blind video watermarking. Unlike some existing methods based on spatial domain watermarking techniques, the even-odd quantization algorithm is applied in our paper to embed all bit plane images decomposed from a single watermark image into only selected robust Discrete Cosine Transform (DCT) coefficients of 8×8 blocks from a host video. As a result, our method not only has high capacity of embedded information but also obtains high quality of watermarked video. Moreover, in order to obtain the security, a secret key is used to scramble embedded blocks and the watermark image is extracted without the host video. The experimental results demonstrate that our proposed method is robust against attacks of compression and addition of noise.
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