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基于小波变换和神经网络的视频水印算法
引用本文:张素文,杨静.基于小波变换和神经网络的视频水印算法[J].无线电工程,2010,40(4):11-12,29.
作者姓名:张素文  杨静
作者单位:武汉理工大学,自动化学院,湖北,武汉,430070
摘    要:针对视频版权的保护提出了一种基于三维小波变换和RBF神经网络的视频水印算法。本算法采用二值图像作为水印,对水印图像进行随机置乱预处理以增强其安全性能;对宿主视频进行视频分割,并分别对得到的各序列做三维DWT变换;把水印嵌入到经过三维变换的低频子带中,在水印提取过程中,结合RBF神经网络模型,而不需要原始图像,快速有效提取出水印。实验结果表明,该算法具有较强的不可见性,且针对帧压缩、旋转、滤波和比例缩放等具有良好的鲁棒性。

关 键 词:小波变换  视频水印  RBF神经网络

Video Watermarking Algorithm Based on Wavelet Transform and Neural Network
ZHANG Su-wen,YANG Jing.Video Watermarking Algorithm Based on Wavelet Transform and Neural Network[J].Radio Engineering of China,2010,40(4):11-12,29.
Authors:ZHANG Su-wen  YANG Jing
Affiliation:ZHANG Su-wen,YANG Jing(School of Automation,Wuhan University of Technology,Wuhan Hubei 430070,China)
Abstract: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 neu...
Keywords:wavelet transform  video watermarking  RBF neural network  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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