Halftoning-Based Fragile Watermarking Approach for Digital Image Self-Recovery

Xiaochen Yuan, Qiyuan Zhang

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

1 Citation (Scopus)

Abstract

This paper proposes a halftoning-based fragile watermarking approach for digital image tamper detection and self-recovery. The Set Partitioning in Hierarchical Trees (SPIHT) algorithm and halftoning technique are employed to generate the primary recovery bits and secondary recovery bits, respectively. On basis of that, the authentication bits are generated. The Arnold Cat Map and diagonal mapping are then applied to further improve the accuracy of tamper detection and ensure the quality of self-recovery. The experimental results have been conducted to demonstrate the superiorities of the proposed approach in imperceptibility and recovery capability.

Original languageEnglish
Title of host publication2022 7th International Conference on Signal and Image Processing, ICSIP 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages352-355
Number of pages4
ISBN (Electronic)9781665495639
DOIs
Publication statusPublished - 2022
Event7th International Conference on Signal and Image Processing, ICSIP 2022 - Suzhou, China
Duration: 20 Jul 202222 Jul 2022

Publication series

Name2022 7th International Conference on Signal and Image Processing, ICSIP 2022

Conference

Conference7th International Conference on Signal and Image Processing, ICSIP 2022
Country/TerritoryChina
CitySuzhou
Period20/07/2222/07/22

Keywords

  • Arnold cat map
  • Set Partitioning in Hierarchical Trees (SPIHT)
  • halftoning technique
  • tamper detection

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