Reversible data hiding by adaptive modification of prediction errors

Reza Moradi Rad, Sim Ying Ong, Kok Sheik Wong

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

Abstract

Histogram Shifting (HS) is one of the most popular reversible data hiding techniques that has received tremendous attention from the research community in recent years. While histogram shifting offers many advantages, it suffers from relatively low payload, which restricts its applications significantly. In this work, a new reversible data hiding technique based on the modification of the histogram of prediction errors is proposed. The proposed method employs an adaptive strategy to vacate multiple bins as the embedding venues in order to increase the effective payload. The histogram bins are shifted dynamically based on their magnitudes. To maintain high quality for the output image, the distance of shifting is minimized for smaller prediction errors. On the other hand, the distance of shifting is allowed to be larger for larger prediction errors, which are of lower occurrences, to create more space for embedding. The proposed data hiding method is able to reversibly hide larger number of bits into the host image while achieving comparable output image quality when compared to the conventional histogram shifting based methods. The experimental results suggest that, on average, the proposed method is able to embed 0.247bpp into various standard test images, while still maintaining the visual quality at satisfactory level of ∼48.9 dB.

Original languageEnglish
Title of host publicationIWIHC 2014 - Proceedings of the 1st ACM International Workshop on Information Hiding and Its Criteria for Evaluation, Co-located with ASIA CCS 2014
PublisherAssociation for Computing Machinery (ACM)
Pages42-47
Number of pages6
ISBN (Print)9781450328036
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventACM International Workshop on Information Hiding and Its Criteria for Evaluation 2014 - Kyoto, Japan
Duration: 3 Jun 20143 Jun 2014
Conference number: 1st
https://dl.acm.org/doi/proceedings/10.1145/2598908 (Proceedings)

Conference

ConferenceACM International Workshop on Information Hiding and Its Criteria for Evaluation 2014
Abbreviated titleIWIHC 2014
CountryJapan
CityKyoto
Period3/06/143/06/14
Internet address

Keywords

  • adaptive modification
  • data hiding
  • histogram shifting
  • prediction error
  • reversible

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