基于小波变换和主成分分析的熵视频水印方案

N. Yassin, N. Salem, M. E. Adawy
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引用次数: 45

摘要

本文介绍了一种综合的数字视频水印方法,即在视频帧中嵌入二值水印图像。采用3级离散小波变换将视频帧分解成子图像,然后对选取的部分块进行主成分分析(PCA)变换。块的选择取决于计算每个块的熵,然后选择熵最大的块。水印嵌入到PCA块的最大系数中。利用多个视频序列对所提出的方案进行了测试。实验结果表明,该算法对多种攻击具有较高的不可感知性和鲁棒性。计算得到的PSNR达到了47.1078 db的高分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Entropy based video watermarking scheme using wavelet transform and Principle Component Analysis
In this paper, a comprehensive approach for digital video watermarking is introduced, where a binary watermark image is embedded into the video frames. Each video frame is decomposed into sub-images using 3 level discrete wavelet transform then the Principle Component Analysis (PCA) transformation is applied for some selected blocks. The selection of the blocks depends on calculating the entropy of each block then the maximum entropy blocks were selected. The watermark is embedded into the maximum coefficient of the PCA block. The proposed scheme is tested using a number of video sequences. Experimental results show high imperceptibility and high robustness against several attacks. The computed PSNR achieves high score which is 47.1078 db.
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