IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i11p2537-d1161118.html
   My bibliography  Save this article

Reversible Data Hiding in Encrypted Image Based on Bit-Plane Redundancy of Prediction Error

Author

Listed:
  • Fang Ren

    (School of Cyberspace Security, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
    National Engineering Research Center for Secured Wireless, Xi’an University of Posts and Telecommunications, Xi’an 710121, China)

  • Ziyi Wu

    (School of Cyberspace Security, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
    National Engineering Research Center for Secured Wireless, Xi’an University of Posts and Telecommunications, Xi’an 710121, China)

  • Yaqi Xue

    (School of Cyberspace Security, Xi’an University of Posts and Telecommunications, Xi’an 710121, China)

  • Yanli Hao

    (School of Cyberspace Security, Xi’an University of Posts and Telecommunications, Xi’an 710121, China)

Abstract

In this paper, we propose a reversible data hiding scheme in an encrypted image based on bit-plane redundancy of prediction error. The scheme greatly improves the embedding capacity while maintaining lossless image recovery and error-free secret data extraction. Firstly, the original image is preprocessed to obtain the prediction error image. After the error matrix is divided into blocks, the corresponding block type is obtained. Secondly, the predicted error image is encrypted with stream cipher and the encryption matrix blocks are scrambled to ensure the security of the scheme. Finally, after embedding the block type value into the encrypted image, the spare room corresponding to each block was obtained, which was used to embed the secret data. The scheme makes full use of the spatial correlation of the pixels in the block, so it improves the embedding rate. By selecting 100 images in each dataset of BOSSbase and BOWS-2, when the block size is 3 × 3 , the average embedding rate of our scheme can reach 3.56 bpp and 3.81 bpp, respectively. The performance of the proposed method is better than the other schemes with similar properties.

Suggested Citation

  • Fang Ren & Ziyi Wu & Yaqi Xue & Yanli Hao, 2023. "Reversible Data Hiding in Encrypted Image Based on Bit-Plane Redundancy of Prediction Error," Mathematics, MDPI, vol. 11(11), pages 1-19, May.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:11:p:2537-:d:1161118
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/11/2537/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/11/11/2537/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bin Huang & Chun Wan & Kaimeng Chen, 2021. "High-Capacity Reversible Data Hiding in Encrypted Images Based on Adaptive Predictor and Compression of Prediction Errors," Mathematics, MDPI, vol. 9(17), pages 1-15, September.
    2. Kai-Meng Chen, 2020. "High Capacity Reversible Data Hiding Based on the Compression of Pixel Differences," Mathematics, MDPI, vol. 8(9), pages 1-12, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiang Li & Xiaolong Li & Mengyao Xiao & Yao Zhao & Hsunfang Cho, 2023. "High-Quality Reversible Data Hiding Based on Multi-Embedding for Binary Images," Mathematics, MDPI, vol. 11(19), pages 1-11, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Limengnan Zhou & Chongfu Zhang & Asad Malik & Hanzhou Wu, 2022. "Efficient Reversible Data Hiding Based on Connected Component Construction and Prediction Error Adjustment," Mathematics, MDPI, vol. 10(15), pages 1-15, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:11:p:2537-:d:1161118. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.