Efficient self-embedding data hiding for image integrity verification with pixel-wise recovery capability

Faranak Tohidi, Manoranjan Paul, Mohammad Reza Hooshmandasl, Tanmoy Debnath, Hojjat Jamshidi

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)

Abstract

Due to the powerful image editing tools, image integrity protection is becoming important, for instance, in a court of law, news reports, insurance claims or telemedicine. Digital image watermarking is a technique for detecting, localizing and recovering of tampered image but capability and accuracy of performance by the existing methods are still issues especially when tampering rate is relatively high. This paper proposes a novel blind fragile watermarking mechanism for effective image authentication and recovery. In the proposed scheme, not only the probability of detection and localization of tampering is increased because of embedding appropriate authentication code in the proper position but also there is an efficient post-processing of recovery in a way that any pixel has treated differently leading to higher quality of recovered image. Furthermore, embedding more fragile authentication code with a smaller number of bits can help to provide a second opportunity for content recovery while the quality of watermarked image is preserved. Thus, better results have been achieved in terms of accuracy of detection and the quality of recovered image after higher tampering rate compared with some of the state-of-the-art schemes.

Original languageEnglish
Title of host publicationImage and Video Technology - 9th Pacific-Rim Symposium, PSIVT 2019, Proceedings
EditorsChilwoo Lee, Zhixun Su, Akihiro Sugimoto
PublisherSpringer
Pages128-141
Number of pages14
ISBN (Print)9783030348786
DOIs
Publication statusPublished - 11 Nov 2019
Event9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019 - Charles Sturt University Study Centre, Sydney, Australia
Duration: 18 Nov 201922 Nov 2019
http://www.psivt.org/psivt2019/
http://www.psivt.org/psivt2019/program.html (program)

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11854 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2019
CountryAustralia
CitySydney
Period18/11/1922/11/19
Internet address

Fingerprint Dive into the research topics of 'Efficient self-embedding data hiding for image integrity verification with pixel-wise recovery capability'. Together they form a unique fingerprint.

  • Cite this

    Tohidi, F., Paul, M., Hooshmandasl, M. R., Debnath, T., & Jamshidi, H. (2019). Efficient self-embedding data hiding for image integrity verification with pixel-wise recovery capability. In C. Lee, Z. Su, & A. Sugimoto (Eds.), Image and Video Technology - 9th Pacific-Rim Symposium, PSIVT 2019, Proceedings (pp. 128-141). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11854 LNCS). Springer. https://doi.org/10.1007/978-3-030-34879-3_11