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  • 青岛科技大学

杨树国

基于数学建模的“三轴联动、五层递进”研究生创新能力培养模式的研究与实践 -----第九届山东省省级教学成果奖佐证材料一、成果曾获奖励二、团队主要成员指导研究生数学建模竞赛获奖统计三、我校连续12年获“中国研究生数学建模竞赛优秀组织奖”荣誉称号四、团队主要成员获批教研项目五、团队主要成员获批课程立项六、团队主要成员的教学论文和教材七、成果推广应用证明

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A discrete wavelet transform and singular value decomposition-based digital video watermark method

发布时间:2023-10-19 点击次数:

  • 关键字:Computer graphics;Digital watermarking - Discrete wavelet transforms - Image coding - Image compression - Image quality - Multimedia systems - Signal reconstruction - Signal to noise ratio - Singular value decomposition - Watermarking - Wavelet decomposition
  • 摘要:Digital video watermark is widely used to protect copyright and content authentication. DWT-SVD based method, i.e., discrete wavelet transform (DWT) and singular value decomposition (SVD) based method, is one of the most popular state-of-the-art methods. There are two main criteria to evaluate it, i.e., imperceptibility and robustness. The former is measured via the peak signal to noise ratio (PSNR) and structural similarity (SSIM). They should be as high as possible after the watermark is embedded. Robustness measures how easy to restore the embedded watermark by the owner even if the watermarked video is damaged by an outside attacker. Current studies randomly choose embedded positions for watermark, which hardly achieves its highest imperceptibility and robustness. In this paper, we propose a more imperceptible and robust digital video watermarking method than the existing one. First, we introduce a method to measure video frame distortion in a wavelet transform domain. Second, we model the problem to achieve the minimum video frame distortion as an optimization problem, i.e., choose embedded positions that can maximize peak signal to noise ratio. Finally, we evaluate and compare our method with the state-of-the-art approaches by using real experiments and show its advantages in both imperceptibility and robustness.<br/> &copy; 2020 Elsevier Inc.
  • 卷号:85
  • 期号:
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