吉林大学学报(信息科学版) ›› 2025, Vol. 43 ›› Issue (2): 377-383.

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基于参考帧的数字媒体视频图像信息隐藏算法

邱欣欣, 温 强, 何 婧   

  1. 西北大学现代学院 电影学院, 西安 710130
  • 收稿日期:2023-08-12 出版日期:2025-04-08 发布日期:2025-04-10
  • 作者简介:邱欣欣(1986— ), 女, 重庆人, 西北大学现代学院副教授, 主要从事新媒体艺术设计研究, ( Tel) 86-13720585629(E-mail)katherinexin1986@ 163. com。
  • 基金资助:
    陕西省体育局常规课题基金资助项目(2023520)

Image Information Hiding Algorithm of Digital Media Video Based on Reference Framel

QIU Xinxin, WEN Qiang, HE Jing   

  1. Film Academy, Modern College of Northwest University, Xi'an 710130, China
  • Received:2023-08-12 Online:2025-04-08 Published:2025-04-10

摘要: 由于置乱和提取过程的不可逆性, 使数字媒体视频图像信息在提取过程中无法完全恢复隐藏信息, 导致信息的丢失或错误, 降低了隐藏算法的有效性。为此, 提出基于参考帧的数字媒体视频图像信息隐藏算法。首先, 采用基于限邻域的经验模式分解(NLEMD: Neighborhood Limited Empirical Mode Decomposition) 算法对数字媒体视频图像实施图像增强处理, 提高视频图像质量; 其次, 采用 Arnold 变换置乱方法对增强后的图像实施置乱变换, 完成信息隐藏的预处理; 最后, 通过基于参考帧的信息隐藏算法实现置乱后的数字媒体视频图像信息隐藏。实验结果表明, 所提方法能提升数字媒体视频图像的峰值信噪比, 隐藏信息嵌入、提取耗时较短,信息提取精度较高。

关键词: 参考帧, 信息隐藏, NLEMD算法, 置乱变换

Abstract:  Due to the Irreversible process of scrambling and extraction process, the hidden information of digital media video image information can not be completely recovered in the extraction process, resulting in information loss or error, and reducing the effectiveness of the hiding algorithm. To solve this problem, a digital media video image information hiding algorithm based on reference frames is proposed. Firstly, the NLEMD(Neighborhood Limited Empirical Mode Decomposition) algorithm is used to enhance digital media video images and improve video image quality. Secondly, the Arnold transform scrambling method is used to perform scrambling transformation on the enhanced image, completing the preprocessing of information hiding. Finally, the scrambled digital media video image information is hidden through an information hiding algorithm based on reference frames. The experimental results show that the proposed method can improve the peak signal-to-noise ratio of digital media video images, reduce the time required for embedding and extracting hidden information,and achieve high accuracy in information extraction.

Key words: reference frame, information hiding, neighborhood limited empirical mode decomposition(NLEMD)algorithm, scrambling transformation

中图分类号: 

  • TP391