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QR Code Watermarking for Digital Images

Journal Article


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Abstract


  • © 2020, Springer Nature Switzerland AG. With the growing use of online digital media, it is becoming increasingly challenging to protect copyright and intellectual property. Data hiding techniques like digital watermarking can be used to embed data within a signal for purposes such as digital rights management. This paper investigates a watermarking technique for digital images using QR codes. The advantage of using QR codes for watermarking is that properties of the QR code structure include error correction and high data capacity. This paper proposes a QR code watermarking technique, and examines its robustness and security against common digital image attacks.

Publication Date


  • 2020

Citation


  • Chow, Y., Susilo, W., Baek, J. & Kim, J. (2020). QR Code Watermarking for Digital Images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11897 LNCS 25-37.

Scopus Eid


  • 2-s2.0-85079097560

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=4752&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/3726

Number Of Pages


  • 12

Start Page


  • 25

End Page


  • 37

Volume


  • 11897 LNCS

Place Of Publication


  • Germany

Abstract


  • © 2020, Springer Nature Switzerland AG. With the growing use of online digital media, it is becoming increasingly challenging to protect copyright and intellectual property. Data hiding techniques like digital watermarking can be used to embed data within a signal for purposes such as digital rights management. This paper investigates a watermarking technique for digital images using QR codes. The advantage of using QR codes for watermarking is that properties of the QR code structure include error correction and high data capacity. This paper proposes a QR code watermarking technique, and examines its robustness and security against common digital image attacks.

Publication Date


  • 2020

Citation


  • Chow, Y., Susilo, W., Baek, J. & Kim, J. (2020). QR Code Watermarking for Digital Images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11897 LNCS 25-37.

Scopus Eid


  • 2-s2.0-85079097560

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=4752&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/3726

Number Of Pages


  • 12

Start Page


  • 25

End Page


  • 37

Volume


  • 11897 LNCS

Place Of Publication


  • Germany