This paper proposes a new watermarking algorithm based on a single-level discrete wavelet transform (DWT). This method initially chooses ‘l’ number of carrier frames to hide the data. After estimating the carrier frames, each frame is separated into RGB frames. Each R, G, and B frames are decomposed using a single-level DWT. The horizontal and vertical coefficients are selected to embed the watermark information since small changes in the horizontal and vertical coefficients do not highly affect the quality of the video frame. The watermark image pixels are shuffled using a predetermined key before embedding. The shuffled pixels are converted to binary, and they are grouped into three data matrices. Each data matrix is embedded in horizontal and vertical coefficients of the R, G and B frames of the video frame. After embedding the data, the watermarked video is reconstructed using the original approximation coefficients, the embed coefficients, and the original diagonal coefficients. During the extraction process, the watermark is extracted from the horizontal and vertical coefficients of the watermarked video. Experimental result reveals that the proposed method outperforms other related methods in terms of video quality and structural similarity index measurement.

中文翻译：

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使用单级离散小波变换方法的水平和垂直系数的视频水印数据隐藏方案

本文提出了一种新的基于单级离散小波变换（DWT）的水印算法。此方法最初选择 'l' 隐藏数据的载体帧数。在估计载体帧之后，每一帧被分成RGB帧。每个 R、G 和 B 帧都使用单级 DWT 进行分解。选择水平和垂直系数来嵌入水印信息，因为水平和垂直系数的微小变化不会对视频帧的质量产生很大影响。水印图像像素在嵌入之前使用预定的密钥进行混洗。打乱的像素被转换为二进制，它们被分组为三个数据矩阵。每个数据矩阵嵌入视频帧的R、G和B帧的水平和垂直系数中。嵌入数据后，使用原始近似系数、嵌入系数和原始对角线系数重建水印视频。在提取过程中，从水印视频的水平和垂直系数中提取水印。实验结果表明，该方法在视频质量和结构相似性指标测量方面优于其他相关方法。