Blind color image watermarking algorithm in quaternion domain based on QR decomposition

Rongnan Pan; Shaocheng Han; Zikang Zhou

doi:10.1117/12.3035318

19 July 2024 Blind color image watermarking algorithm in quaternion domain based on QR decomposition

Rongnan Pan, Shaocheng Han, Zikang Zhou

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132133K (2024) https://doi.org/10.1117/12.3035318
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

To provide a solution to the copyright protection problem of color images, a blind color image watermarking algorithm in the quaternion domain based on QR decomposition is proposed. Firstly, the Contourlet transform are applied to the R, G and B channels of the carrier image respectively, the low-frequency subbands are taken to construct a quaternion matrix, and the quaternion discrete cosine transform is applied to the quaternion matrix, then the inverse discrete cosine transform is performed on the real part matrix after the quaternion discrete cosine transform to get the intermediate process matrix. Finally, the above intermediate process matrix is split into non-overlapping blocks, the encrypted binary watermark is embedded into the upper triangular matrix obtained from the QR decomposition of non-overlapping blocks. The experimental date demonstrate that the watermark images extracted by the algorithm are still discernible after some common image processing attacks, so it has certain robustness.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rongnan Pan, Shaocheng Han, and Zikang Zhou "Blind color image watermarking algorithm in quaternion domain based on QR decomposition", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132133K (19 July 2024); https://doi.org/10.1117/12.3035318

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available