A Blind Video Watermarking Technique For Indoor Video Content Protection Using Discrete Wavelet Transform

Abstract

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. The most frequently used transforms for video watermarking are Discrete Fourier Transform, Discrete Cosine Transform and Discrete Wavelet Transform. The Discrete wavelet transform is more frequently use because of its excellent multi-resolution and spatial localization characteristics. Thus, looking at the specialties of Discrete Wavelet Transform (DWT), in this project Discrete Wavelet Transform (DWT) is used. 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. In 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 project, 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 Mean Square Error (MSE). The results illustrates that the process is a blind watermark technique and is highly robust against the different attacks.

 Keywords— Discrete Wavelet Transform (DWT); Peak Signal to Noise Ratio (PSNR); Normalized Correlation Coefficient (NC); Mean Square Error (MSE)