基于预测误差位平面压缩的密文图像可逆信息隐藏

吴友情; 马文静; 殷赵霞; 彭银银; 张新鹏

doi:10.11959/j.issn.1000-436x.2022149

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基于预测误差位平面压缩的密文图像可逆信息隐藏

学术通信 | 更新时间：2024-06-05

- 基于预测误差位平面压缩的密文图像可逆信息隐藏
- Reversible data hiding in encrypted image based on bit-plane compression of prediction error
- 通信学报 2022年43卷第8期页码：219-230
- 作者机构：
  
  1. 合肥师范学院计算机学院，安徽合肥 230601
  2. 安徽大学多模态认知计算安徽省重点实验室，安徽合肥 230601
  3. 华东师范大学通信与电子工程学院，上海 200241
  4. 合肥工业大学计算机与信息学院，安徽合肥 230031
  5. 复旦大学计算机科学与技术学院，上海 200433
- 作者简介：
  
  [ "吴友情（1984- ），女，安徽枞阳人，合肥师范学院讲师，主要研究方向为信息隐藏、多媒体安全等" ]
  [ "马文静（1997- ），女，安徽阜阳人，安徽大学硕士生，主要研究方向为信息隐藏" ]
  [ "殷赵霞（1983- ），女，安徽安庆人，博士，华东师范大学教授，主要研究方向为隐蔽通信、多媒体通信与隐私保护、图像处理与人工智能等" ]
  [ "彭银银（1994- ），女，安徽颍上人，合肥工业大学博士生，主要研究方向为隐私安全" ]
  [ "张新鹏（1975- ），男，黑龙江密山人，博士，复旦大学教授，主要研究方向为多媒体信息安全、AI安全、图像处理等" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(62172001);国家自然科学基金资助项目;The National Natural Science Foundation of China(61872003);国家自然科学基金资助项目;The National Natural Science Foundation of China(U1936214);安徽省高等学校自然科学重点资助项目;The Natural Science Foundation of Anhui Higher Education Institutions of China(KJ2021A0901);多模态认知计算安徽省重点实验室（安徽大学）开放基金资助项目;The Open Project of Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Anhui University(MMC202106)
- DOI：10.11959/j.issn.1000-436x.2022149
  中图分类号： TP309
- 网络出版日期：2022-08，
  
  纸质出版日期：2022-08-25
- 稿件说明：
移动端阅览
吴友情, 马文静, 殷赵霞, 等. 基于预测误差位平面压缩的密文图像可逆信息隐藏[J]. 通信学报, 2022,43(8):219-230.

Youqing WU, Wenjing MA, Zhaoxia YIN, et al. Reversible data hiding in encrypted image based on bit-plane compression of prediction error[J]. Journal on communications, 2022, 43(8): 219-230.
吴友情, 马文静, 殷赵霞, 等. 基于预测误差位平面压缩的密文图像可逆信息隐藏[J]. 通信学报, 2022,43(8):219-230. DOI： 10.11959/j.issn.1000-436x.2022149.

Youqing WU, Wenjing MA, Zhaoxia YIN, et al. Reversible data hiding in encrypted image based on bit-plane compression of prediction error[J]. Journal on communications, 2022, 43(8): 219-230. DOI： 10.11959/j.issn.1000-436x.2022149.

摘要

为进一步提升密文图像可逆信息隐藏算法性能，提出预测误差位平面联合编码无损压缩算法，可更充分地利用图像冗余，以预留更多可嵌入空间。图像所有者首先计算图像的预测误差，将预测误差位平面划分为相同大小的非重叠块，接着将其按块进行重新排列，利用游程编码和哈夫曼编码压缩重排后的比特流以预留空间。信息隐藏者在加密图像的预留空间中嵌入信息。在接收端，合法接收者能无损并可分离地提取信息和恢复图像。实验结果表明，所提算法充分利用位平面分布特性，获得了高嵌入性能，在BOSSbase和BOWS-2图像集中平均嵌入率达到3.763 bpp和3.642 bpp，比同类算法至少提升0.081 bpp和0.058 bpp。

Abstract

To further improve the performance of reversible data hiding in encrypted image

an algorithm for lossless compression of the prediction error bit-plane using joint encoding was proposed

which could make full use of image redundancy and reserve more embedding room.Firstly

the image owner calculated the prediction error of the image and divided the prediction error bit-plane into non-overlapping blocks of the same size.Then

the prediction error bit-plane was rearranged according to blocks and the rearranged bitstream was compressed by run-length encoding and Huffman encoding to reserve room.The data hider embedded information in the reserved room of the encrypted image.At the receiving end

the legitimate receiver extracted information and recovered images losslessly and separately.Experimental results show that the proposed algorithm makes full use of the bit-plane distribution characteristics and achieves higher embedding performance.The average embedding rates in BOSSbase and BOWS-2 datasets reach 3.763 bpp and 3.642 bpp

which are at least 0.081 bpp and 0.058 bpp higher than the state-of-the-art algorithms.

关键词

Keywords

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