A strategy of distinguishing texture feature for reversible data hiding based on histogram shifting

Yinyin Peng, Zhaoxia Yin

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

Abstract

Reversible data hiding has received growing attention, which not only protects the secret information but also can recover the cover image accurately. Many algorithms have aimed at embedding capacity and rarely consider the texture features of spatial images. In this paper, to better improve the image quality, a novel strategy of distinguishing texture feature for reversible data hiding based on histogram shifting is proposed. Firstly, the cover image is separated into blocks of the equal size, and the texture feature value of blocks is calculated. Then, the relatively smooth blocks are selected for information embedding. Experimental results show that our method can improve image quality effectively.

Original languageEnglish
Title of host publicationDigital Forensics and Watermarking - 17th International Workshop, IWDW 2018, Proceedings
EditorsYun-Qing Shi, Hyoung Joong Kim, Chang D. Yoo, Gwangsu Kim, Alessandro Piva
PublisherSpringer Verlag
Pages206-215
Number of pages10
ISBN (Print)9783030113889
DOIs
StatePublished - 2019
Externally publishedYes
Event17th International Workshop on Digital Forensics and Watermarking, IWDW 2018 - Jeju Island, Korea, Republic of
Duration: 22 Oct 201824 Oct 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11378 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Workshop on Digital Forensics and Watermarking, IWDW 2018
Country/TerritoryKorea, Republic of
CityJeju Island
Period22/10/1824/10/18

Keywords

  • Image quality
  • Image texture
  • Reversible data hiding

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