基于状态视图的流媒体图像信息置乱隐藏算法  

Scrambling and hiding algorithm of streaming media image information based on state view

作　　者：杨盼盼 赵继春[1] YANG Panpan;ZHAO Jichun(Institute of Agricultural Information and Economics,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China)

机构地区：[1]北京市农林科学院农业信息与经济研究所,北京100097

出　　处：《计算机应用》2021年第6期1729-1733,共5页journal of Computer Applications

基　　金：北京市科委科研项目(Z191100007519010)。

摘　　要：针对流媒体图像存在的信息安全隐患问题,提出了一种基于状态视图的流媒体图像信息置乱隐藏算法。首先,使用基于限邻域经验模式分解(NLEMD)的流媒体图像增强算法来增强流媒体图像以及凸显流媒体图像的细节信息,从而实现流媒体图像增强的效果;然后,通过基于状态视图的高效编码和解码算法对流媒体图像信息实施编码与解码,从而完成流媒体图像信息的置乱隐藏。实验结果表明,所提算法可有效、全面置乱隐藏植物类、文字类的流媒体图像信息,且对流媒体图像增强显著,在流媒体图像信息的置乱隐藏中,该算法的置乱隐藏度高于95%,可保护流媒体图像信息安全。Aiming at the information security risks of streaming media images,a new scrambling and hiding algorithm for streaming media image information based on state view was proposed.Firstly,the streaming media image enhancement algorithm based on Neighborhood Limited Empirical Mode Decomposition(NLEMD)was used to enhance the streaming media image and highlight the details of the streaming media image,so as to realize the effect of streaming media image enhancement.Then,the efficient encoding and decoding algorithm based on state view was used to encode and decode the streaming media image information,so that the streaming media image information was scrambled and hidden.Experimental results show that,the proposed algorithm can effectively and comprehensively scramble and hide plant and text streaming media image information,and it can significantly enhance the streaming media images.In the scrambling and hiding of streaming media image information,the scrambling and hiding degree of the proposed algorithm is higher than 95%,which indicates that the proposed algorithm can protect the security of streaming media image information.

关 键 词：状态视图 流媒体 图像信息 置乱隐藏 高效编码和解码 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]