Journal of Computer Applications ›› 2021, Vol. 41 ›› Issue (6): 1729-1733.DOI: 10.11772/j.issn.1001-9081.2020091422

Special Issue: 网络空间安全

• Cyber security • Previous Articles     Next Articles

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

YANG Panpan, ZHAO Jichun   

  1. Institute of Agricultural Information and Economics, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
  • Received:2020-09-14 Revised:2021-01-15 Online:2021-06-10 Published:2021-02-07
  • Supported by:
    This work is partially supported by the Scientific Research Project of Beijing Municipal Science and Technology Commission (Z191100007519010).


杨盼盼, 赵继春   

  1. 北京市农林科学院 农业信息与经济研究所, 北京100097
  • 通讯作者: 杨盼盼
  • 作者简介:杨盼盼(1987-),女,北京人,助理研究员,硕士,主要研究方向:远程教育、信息化管理、软件工程、新媒体;赵继春(1980-),男,河北承德人,副研究员,博士,主要研究方向:农业信息、计算机软件。
  • 基金资助:

Abstract: 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.

Key words: state view, streaming media, image information, scrambling and hiding, efficient encoding and decoding

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。

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

CLC Number: