| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 04009 | |
| Number of page(s) | 7 | |
| Section | Computer Vision, Robotic Systems, and Intelligent Control | |
| DOI | https://doi.org/10.1051/itmconf/20268404009 | |
| Published online | 06 April 2026 | |
Reversible Data Hiding of Images Based on Plaintext Domains
Institute of international education, Chongqing college of mobile communication, Hechuan, Chongqing, China
* Corresponding author’s email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Information hiding technology can embed secret information into images, video, audio and other media. Authorized users can get embedded data from the medium of implicit data, so as to realize the transmission of information. Traditional information hiding only focuses on covert transmission, making it impossible for unauthorized persons to detect the existence of hidden information and does not require the carrier to remain undamaged after information extraction. But reversible data hiding technology can not only realize covert communication, but also realize lossless restoration of the original carrier image after extracting the hidden information, therefore, it has extremely important value in the field of high fidelity, This article systematically reviews the development of image reversible information hiding technology, Four methods of lossless compression, difference expansion, histogram shifting, and prediction-error expansion are introduced, the advantages and limitations of various methods were summarized, and a comparative analysis was conducted. The future development direction was discussed, providing new ideas for the future development of this technology.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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