基于主成分分析的视频隐写技术研究  

Research on Video Steganography Based on Principal Component Analysis

作　　者：王勇智 黄红波 WANG Yongzhi;HUANG Hongbo(School of Information Science and Engineering,Hunan Institute of Science and Technology,Yueyang 414006,China;Library,Yueyang Vocational and Technical College,Yueyang 414000,China)

机构地区：[1]湖南理工学院信息科学与工程学院,湖南岳阳414006 [2]岳阳职业技术学院图书馆,湖南岳阳414000

出　　处：《湖南理工学院学报(自然科学版)》2025年第1期18-22,共5页Journal of Hunan Institute of Science and Technology(Natural Sciences)

基　　金：湖南省自然科学基金项目(2020JJ4342)。

摘　　要：随着信息技术的迅速发展,视频隐写技术已成为信息隐藏领域的重要研究方向.针对传统视频隐写方法中常见的嵌入效率低和安全性不足的问题,提出一种融合主成分分析与校验子格编码的视频隐写方法.该方法先对所有视频帧运用离散小波变换和主成分分析来确定最适合嵌入信息的帧,然后利用校验子格编码技术在选定帧中精确选择最佳嵌入像素,从而显著提高信息隐藏的效果和安全性.实验结果表明,该方法在增加隐写容量和维护视频质量的同时,能提供更高的安全保障,显示其在视频隐写领域的应用潜力.With the rapid development of information technology,video steganography technology has become an important research direction in information hiding.Faced with the common problems of low embedding efficiency and insufficient security in traditional video steganography methods,this paper proposes a new video steganography method that integrates principal component analysis and check lattice coding.The method applies discrete wavelet transform(DWT)and principal component analysis(PCA)to all video frames to determine the best suited for embedding information at first.And then,syndrome-trellis coding(STC)technology is used to accurately select the best embedding pixels in the selected frame,thereby,the effect and security of information hiding is improved significantly.The experimental result shows this method ensures higher security while enhancing steganography capacity and maintaining video quality,demonstrating its application potential in video steganography.

关 键 词：视频隐写 主成分分析 校验子格编码 离散小波变换 信息安全 

分 类 号：TP309.7[自动化与计算机技术—计算机系统结构]