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A blind video watermarking technique for indoor video content protection using Discrete Wavelet Transform

机译:基于离散小波变换的室内视频内容保护盲视频水印技术

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In this paper, an highly effective algorithm for copyright protection is proposed using a simple and efficient embedding technique for DWT-based video watermarking for indoor video watermarking applications. Discrete Wavelet Transform (DWT) is applied on the video frame to achieve frequency domain representation of video sequences. The frequency domain representations of DWT are low pass and high pass components of which the low pass component is used to generate the key for each frame. This way the generated key is used at the receiver for extracting the watermark which results in copyright protection. Blind watermarking technique is followed in this paper, this needs only the key for extraction of hidden watermark. The advantage of this method is that it does not require the original video sequences for extraction. To scrutinize the robustness of the proposed algorithm, the original watermark image is equated with those of extracted watermark images by applying several attacks. The results are computed and the performance is evaluated based on the parameters Peak Signal to Noise Ratio (PSNR), Normalized Correlation Coefficient (NC) as well as Structural Similarity index (SSIM). The results illustrates that the process is a blind watermark technique and is highly robust against the different attacks and also for different noisy environments.
机译:在本文中,针对室内视频水印应用中基于DWT的视频水印使用简单有效的嵌入技术,提出了一种高效的版权保护算法。在视频帧上应用离散小波变换(DWT),以实现视频序列的频域表示。 DWT的频域表示是低通和高通分量,其中低通分量用于为每个帧生成密钥。这样,所生成的密钥在接收器处被用于提取水印,这导致了版权保护。本文采用盲水印技术,只需要提取隐藏水印的密钥即可。该方法的优点是不需要原始视频序列进行提取。为了检查所提出算法的鲁棒性,通过应用几次攻击将原始水印图像等同于提取的水印图像。根据参数峰值信噪比(PSNR),归一化相关系数(NC)以及结构相似性指数(SSIM),计算结果并评估性能。结果表明,该过程是一种盲注水印技术,对于不同的攻击以及不同的嘈杂环境具有很高的鲁棒性。

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