A Novel Video Watermarking Technique Based on Image Decomposition and Chen’s System
Zhenlei Cao, Lidan Wang · 2018
Video watermarking technique has received widely attention due its use in copyright protection and multimedia security. This paper provides a video watermarking technique using Chen's system and image decomposition. The color images used as watermark are firstly scrambled using Chen's system to enhance its confidentiality. Then we use shot boundary detection to extract non-motion frames of the video. Next, we apply the 3-level discrete wavelet transform to selected frames to get the appropriate subbands. And finally the encrypted watermarks are embedded into the selected subbands. We use Peak Signal-to-Noise Ratio, Normalized Correlation and Structural Similarity Index Measure to evaluate the performance of the proposed method. Experiments showed that the average PSNR and SSIM of watermarked frames are 57.00 dB and 0.99, respectively, which show that the proposed method has high imperceptibility. The NC value of 1.00 proves that the watermark can be transmitted without loss under no attacks. And we also tested the robustness and imperceptibility in the presence of various attacks including image processing attacks, geometrical attacks and video attacks. The method we proposed enriched the video watermarking techniques.