Discrete wavelet transform based video watermarking technique

S. Kadu, Ch. Naveen, V. Satpute, A. Keskar
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引用次数: 17

Abstract

In this paper, an effective algorithm for providing copyright protection is proposed by using a new embedding strategy for Discrete Wavelet Transform-based video watermarking. Discrete Wavelet Transform (DWT) is applied on the video, to convert the spatial data into frequency domain, having low pass and high pass components. The low frequency component is used for generating the key, by using the watermark image and the binarized Low frequency part (LL) of the video frame. Same procedure is applied on each frame to generate the key for corresponding frame. This generated key should be used at receiver for extracting the watermark which provides copyright protection. Blind watermarking technique is used in this paper which require only key to extract the embedded watermark. The original video is not required during extraction. To criticize the robustness of algorithm, the original watermark image is compared with extracted watermark image after several attacks and their Peak Signal to Noise Ratio (PSNR), Normalized Correlation Coefficient (NC) and Structural Similarity index (SSIM) are calculated. The experimental results demonstrate that the watermark is invisible and it is robust against the various attacks and addition of noise to the video.
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基于离散小波变换的视频水印技术
本文提出了一种新的基于离散小波变换的视频水印嵌入策略,为视频水印提供有效的版权保护。对视频进行离散小波变换(DWT),将空间数据转换为具有低通和高通分量的频域数据。低频分量利用水印图像和视频帧的二值化后的低频部分生成密钥。在每个帧上应用相同的过程来生成相应帧的密钥。生成的密钥在接收端用于提取水印,从而提供版权保护。本文采用了只需要密钥就可以提取嵌入水印的盲水印技术。提取过程中不需要原始视频。为了检验算法的鲁棒性,将原始水印图像与经过多次攻击后提取的水印图像进行比较,计算其峰值信噪比(PSNR)、归一化相关系数(NC)和结构相似度指数(SSIM)。实验结果表明,该水印具有不可见性,对视频中的各种攻击和噪声具有较强的鲁棒性。
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