基于运动向量修改的保持块间扰动最小的HEVC信息隐藏算法

唐小晶; 马熠; 余建昌; 张弘; 赵险峰

引用本文：

唐小晶,马熠,余建昌,张弘,赵险峰.基于运动向量修改的保持块间扰动最小的HEVC信息隐藏算法[J].信息安全学报,已采用 [点击复制]
tangxiaojing,Ma Yi,Yu Jianchang,Zhang Hong,Zhao Xianfeng.A HEVC Information Hiding Algorithm Based on Motion Vector Modification minimizing the distortion between blocks[J].Journal of Cyber Security,Accept [点击复制]

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基于运动向量修改的保持块间扰动最小的HEVC信息隐藏算法
唐小晶¹, 马熠², 余建昌¹, 张弘¹, 赵险峰¹
0 字体:加大+\|默认\|缩小-
(1.中国科学院信息工程研究所;2.北京信息技术研究所)

摘要:

高效视频编码（High Efficiency Video Coding, HEVC）标准能够大幅度提升压缩效率，正被广泛应用中。为提高基于运动向量修改的HEVC隐写算法的安全性，本文提出了一种基于运动向量修改的保持块间扰动最小的HEVC信息隐藏算法。首先，该算法量化了修改运动向量后对当前高级运动向量预测（Advanced Motion Vector Prediction, AMVP）单元和其相邻Merge模式预测单元产生的扰动代价。其次，结合校验网格码（Syndrome Trellis Codes, STC），寻找扰动代价最小的嵌入路径，将信息嵌入在AMVP模式的预测单元运动向量上。此外，还对运动向量差值进行更新。实验结果表明，所提方法对视频序列进行信息嵌入后，对视频序列的峰值信噪比、码率影响较小，并对运动向量域专用隐写分析有良好抗检测能力。

关键词: 信息隐藏高效视频编码运动向量高级运动向量预测

DOI：10.19363/J.cnki.cn10-1380/tn.2022.12.07

投稿时间：2020-06-24修订日期：2020-09-30

基金项目:国家自然科学基金(61802393, 61972390, 61902391, U1736214, 61872356)，国家重点研发计划(2019QY0701, 2019QY2202, 2019QY(Y)0207), 国防科技创新特区项目, 中国科学院信息工程研究所攀登计划项目

A HEVC Information Hiding Algorithm Based on Motion Vector Modification minimizing the distortion between blocks

tangxiaojing¹, Ma Yi², Yu Jianchang¹, Zhang Hong¹, Zhao Xianfeng¹

(1.Institute of Information Engineering;2.Beijing Information Technology Institute)

Abstract:

High Efficiency Video Coding (HEVC) standard can greatly improve compression efficiency, which is widely used. In order to improve the security of HEVC steganography algorithm based on motion vector modification, this paper proposes a HEVC information hiding algorithm based on motion vector modification minimizing the distortion between blocks. Firstly,the algorithm defines the cost of modifying the motion vector for the current Advanced Motion Vector Prediction (AMVP) mode unit and its adjacent Merge mode units. Secondly, we use the Syndrome Trellis Codes (STC) to minimize distortion and then embed the message on the motion vector of prediction units, which utilize AMVP mode. In addition, the motion vector difference is updated. Experimental results show that the proposed method makes the peak signal-to-noise ratio and the bitrate of video sequences fluctuate less. And it also performs well in resisting steganalysis of motion vector domain.

Key words: Information hiding High Efficiency Video Coding motion vector Advanced Motion Vector Prediction