Reversible data hiding in dual encrypted halftone images using matrix embedding

被引:0
|
作者
Yu-Xia Sun
Qi Li
Bin Yan
Jeng-Shyang Pan
Hong-Mei Yang
机构
[1] Shandong University of Science and Technology,College of Electronic and Information Engineering
[2] Shandong University of Science and Technology,College of Computer Science and Engineering
来源
Multimedia Tools and Applications | 2020年 / 79卷
关键词
Halftone image; Image encryption; Reversible data hiding; Matrix embedding; Hamming code;
D O I
暂无
中图分类号
学科分类号
摘要
Reversible data hiding (RDH) is a data-hiding technique that embeds data into cover media such that it can be recovered distortion-free after the embedded data are retrieved. Currently, for RDH in encrypted halftone images (RDH-EH), the original cover image cannot be recovered once the watermark is extracted. In this paper, we present a RDH method for encrypted halftone images based on matrix embedding, which can achieve a high embedding capacity with low distortion. Since minimal information redundancy exists in encrypted halftone images, perfectly reversible algorithms appear to be difficult to implement. Nevertheless, we proposed a completely reversible RDH method for encrypted halftone images with high embedding capacity. To address the drawback of information redundancy, the pixels of the cover image are copied into two images to guarantee reversibility. The watermark is embedded into the first cover image by changing one pixel of each block using syndrome encoding, and into the second cover image by bit replacement. The experimental results show that the halftone image can be completely recovered after the embedded data are extracted. Furthermore, our algorithm can achieve moderate computational complexity, high embedding capacity and high visual quality of marked images. This scheme is suitable for data-hiding applications such as the medical or printing applications where the reversibility is crucial.
引用
收藏
页码:27659 / 27682
页数:23
相关论文
共 50 条
  • [41] Reversible Data Hiding in JPEG Images Using Ordered Embedding
    Qian, Zhenxing
    Dai, Shu
    Chen, Boyang
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2017, 11 (02): : 945 - 958
  • [42] Reversible Data Hiding in Encrypted Images Using POB Number System
    Ren, Hua
    Niu, Shaozhang
    Wang, Xinyi
    IEEE ACCESS, 2019, 7 : 149527 - 149541
  • [43] Reversible Data Hiding in Partially-Encrypted Images
    Chen, Haishan
    Hong, Wien
    Ni, Jiangqun
    Chen, Tung-Shou
    CLOUD COMPUTING AND SECURITY, PT III, 2018, 11065 : 670 - 679
  • [44] A Reversible Data Hiding Method in Compressible Encrypted Images
    Imaizumi, Shoko
    Izawa, Yusuke
    Hirasawa, Ryoichi
    Kiya, Hitoshi
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2020, E103A (12) : 1579 - 1588
  • [45] Reversible data hiding in encrypted images using chaos theory and Chinese Remainder Theorem
    Erdem Yavuz
    Pattern Analysis and Applications, 2025, 28 (3)
  • [46] An Improved Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling
    Wu, Youqing
    Xiang, Youzhi
    Guo, Yutang
    Tang, Jin
    Yin, Zhaoxia
    IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 22 (08) : 1929 - 1938
  • [47] REVERSIBLE DATA HIDING IN ENCRYPTED IMAGES WITH AUXILIARY SYNDROME
    Yu, Jiang
    Si, Wen
    Li, Fenyong
    2017 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS 2017), 2017, : 237 - 241
  • [48] Reversible data hiding in encrypted color images using cross-channel correlations
    Li, Ming
    Ren, Hua
    Xiang, Yong
    Zhang, Yushu
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2021, 78
  • [49] An Effective Reversible Data-Hiding in Encrypted Images Using Memory Cellular Automata
    Gopalan, N. P.
    Kumaresan, G.
    JOURNAL OF APPLIED SECURITY RESEARCH, 2020, 15 (01) : 96 - 115
  • [50] An improved performance of reversible data hiding in encrypted images using decision tree algorithm
    Konduru, Upendra Raju
    Nagarajan, Amutha Prabha
    Sai, Chandavolu Venkata Sri
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 137