Abstract
In order to improve the performance of color image digital watermarking, a watermarking algorithm based on integration of Discrete Wavelet Transform (DWT) and Discrete Quaternion Fourier Transform (DQFT) combined with QR matrix decomposition is proposed. The three channels of a color image are processed as a whole to embed watermark information. Experimental results show that the watermarking algorithm has good robustness against attacks such as JPEG compression, cropping, and median filtering.
Original language | English |
---|---|
Title of host publication | Science of Cyber Security - Third International Conference, SciSec 2021, Revised Selected Papers |
Editors | Wenlian Lu, Kun Sun, Moti Yung, Feng Liu |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 214-224 |
Number of pages | 11 |
ISBN (Print) | 9783030891367 |
DOIs | |
Publication status | Published - 2021 |
Event | 3rd International Conference on Science of Cyber Security, SciSec 2021 - Virtual, Online Duration: 13 Aug 2021 → 15 Aug 2021 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 13005 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 3rd International Conference on Science of Cyber Security, SciSec 2021 |
---|---|
City | Virtual, Online |
Period | 13/08/21 → 15/08/21 |
Keywords
- Blind watermark
- DQFT transform
- DWT transform
- QR decomposition
- Quaternion
Fingerprint
Dive into the research topics of 'DWT-DQFT-Based Color Image Blind Watermark with QR Decomposition'. Together they form a unique fingerprint.Cite this
Qin, L., Ma, L., & Fu, X. (2021). DWT-DQFT-Based Color Image Blind Watermark with QR Decomposition. In W. Lu, K. Sun, M. Yung, & F. Liu (Eds.), Science of Cyber Security - Third International Conference, SciSec 2021, Revised Selected Papers (pp. 214-224). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13005 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-89137-4_15