Video Watermarking Algorithm Based on Wavelet Transform and Neural Network
Jing Yang · Radio Engineering · 2010
For video copyright protection,this paper proposes a video watermarking algorithm based on three-dimensional wavelet transform and RBF neural network.This algorithm uses binary image as a watermark,first of all,to enhance its security performance,with the random scrambling watermark image pre-processing;then segments the host video and separately transform each sequence using three-dimensional DWT;embeds the watermark into the low-frequency sub-band.In the watermark extraction process,combining with RBF neural network model,the watermark can be quickly and efficiently extracted without the original image,the experimental results show that this algorithm has a strong non-visibility,and has high robustness for the frame compression,rotation,scaling and filtering.