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

Xiaochen Yuan, Qiyuan Zhang

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2022 7th International Conference on Signal and Image Processing, ICSIP 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面352-355
頁數4
ISBN(電子)9781665495639
DOIs
出版狀態Published - 2022
事件7th International Conference on Signal and Image Processing, ICSIP 2022 - Suzhou, China
持續時間: 20 7月 202222 7月 2022

出版系列

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

Conference

Conference7th International Conference on Signal and Image Processing, ICSIP 2022
國家/地區China
城市Suzhou
期間20/07/2222/07/22

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