Image watermarking based on non-Newtonian effect and interpolated SWT-DWT

Ahmed Khan, KokSheik Wong

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

Abstract

This paper proposes a robust image watermarking method based on the non-Newtonian effect in fluid dynamics and multiple interpolated transformations. First, the host image is encrypted by using a k-level Arnold map, followed by Discrete Wavelet Transformation. Second, the watermark is inserted into the encrypted-transformed host image, where the resulting image is inversely transformed by using inverse stationary wavelet transformation, followed by the inverse Arnold mapping (decryption) to produce the watermarked image. Specifically, inserting watermark into the Arnold domain diffuses the watermark information throughout the host image, which leads to the non-Newtonian effect. All three color channels of the host image are processed differently to achieve robust watermark extraction and quick tampering detection. Experiments are conducted to verify the basic performance of the proposed method. Results suggest that the proposed method outperforms the conventional work in terms of image quality while achieving high robustness and embedding capacity.

Original languageEnglish
Title of host publication2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings
EditorsHiroshi Higashi, Shoichi Koyama
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1828-1832
Number of pages5
ISBN (Electronic)9789881476890
ISBN (Print)9781665441629
Publication statusPublished - 2021
EventAnnual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2021 - Tokyo, Japan
Duration: 14 Dec 202117 Dec 2021
https://ieeexplore.ieee.org/xpl/conhome/9688568/proceeding (Proceedings)
http://www.apsipa.org/apsipa2021/ (Website)

Publication series

Name2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISSN (Print)2640-009X
ISSN (Electronic)2640-0103

Conference

ConferenceAnnual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA) 2021
Abbreviated titleAPSIPA ASC 2021
Country/TerritoryJapan
CityTokyo
Period14/12/2117/12/21
Internet address

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