Reversible Multi-Level Watermarking Scheme for Color Images

Xiaochen Yuan, Ying Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Reversible data hiding is to embed data into digital multimedia, while the original multimedia and embedded data can be restored from the watermarked one without any loss. In this paper, we propose a novel Reversible Multi-Level Watermarking (RMLW) scheme for color images with grayscale invariance. Being different from the traditional reversible data hiding methods, we adapt the gray scale-invariant reversible watermarking method which keeps the grayscale of image unchanged as the information is embedded. In the RMLW, one feature region of high robustness is extracted and into which the watermarks are then embedded for multiple times. Lots of experiments have been conducted and the results show that the proposed scheme can extend the capacity efficiently while keep the characteristic of grayscale invariance.

Original languageEnglish
Title of host publicationICEIEC 2022 - Proceedings of 2022 IEEE 12th International Conference on Electronics Information and Emergency Communication
EditorsLi Wenzheng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-12
Number of pages4
ISBN (Electronic)9781665407540
DOIs
Publication statusPublished - 2022
Event12th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2022 - Beijing, China
Duration: 15 Jul 202217 Jul 2022

Publication series

NameICEIEC 2022 - Proceedings of 2022 IEEE 12th International Conference on Electronics Information and Emergency Communication

Conference

Conference12th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2022
Country/TerritoryChina
CityBeijing
Period15/07/2217/07/22

Keywords

  • Gray scale-invariant
  • Reversible Multi-Level Watermarking (RMLW)
  • Reversible data hiding

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