Abstract
Watermarking is a technique used for copyright protection. In this study, an adaptive wavelet-tree watermarking method is presented. The method is based on the authors' previous work but has two major modifications. One is an adaptive adjustment of wavelet-tree coefficients that improve image quality. The other is an adaptive watermark extraction used for a variety of images. Experimental results showed that the proposed method not only can decrease computation, it also can increase the robustness of watermarks under common attacks, such as Gaussian filtering, average filtering, median filtering and JPEG compression. Moreover, the proposed method is successfully implemented on the Android OS for potential applications in mobile devices.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014 |
| Editors | Shaozi Li, Yun Cheng, Ying Dai, Xiaohong Jiang |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 149-153 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479931965 |
| DOIs | |
| Publication status | Published - 2014 Nov 5 |
| Event | 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014 - Sapporo City, Hokkaido, Japan Duration: 2014 Apr 26 → 2014 Apr 28 |
Publication series
| Name | Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014 |
|---|---|
| Volume | 1 |
Other
| Other | 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014 |
|---|---|
| Country | Japan |
| City | Sapporo City, Hokkaido |
| Period | 14/4/26 → 14/4/28 |
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Keywords
- Android OS
- optimization
- robustness
- watermark
- wavelet-tree
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
An adaptive wavelet-tree watermarking method and its implementation in mobile devices. / Shih, Che Yang; Su, Chung-Yen; Lin, Chun Yu.
Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014. ed. / Shaozi Li; Yun Cheng; Ying Dai; Xiaohong Jiang. Institute of Electrical and Electronics Engineers Inc., 2014. p. 149-153 6948086 (Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014; Vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An adaptive wavelet-tree watermarking method and its implementation in mobile devices
AU - Shih, Che Yang
AU - Su, Chung-Yen
AU - Lin, Chun Yu
PY - 2014/11/5
Y1 - 2014/11/5
N2 - Watermarking is a technique used for copyright protection. In this study, an adaptive wavelet-tree watermarking method is presented. The method is based on the authors' previous work but has two major modifications. One is an adaptive adjustment of wavelet-tree coefficients that improve image quality. The other is an adaptive watermark extraction used for a variety of images. Experimental results showed that the proposed method not only can decrease computation, it also can increase the robustness of watermarks under common attacks, such as Gaussian filtering, average filtering, median filtering and JPEG compression. Moreover, the proposed method is successfully implemented on the Android OS for potential applications in mobile devices.
AB - Watermarking is a technique used for copyright protection. In this study, an adaptive wavelet-tree watermarking method is presented. The method is based on the authors' previous work but has two major modifications. One is an adaptive adjustment of wavelet-tree coefficients that improve image quality. The other is an adaptive watermark extraction used for a variety of images. Experimental results showed that the proposed method not only can decrease computation, it also can increase the robustness of watermarks under common attacks, such as Gaussian filtering, average filtering, median filtering and JPEG compression. Moreover, the proposed method is successfully implemented on the Android OS for potential applications in mobile devices.
KW - Android OS
KW - optimization
KW - robustness
KW - watermark
KW - wavelet-tree
UR - http://www.scopus.com/inward/record.url?scp=84913533751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84913533751&partnerID=8YFLogxK
U2 - 10.1109/InfoSEEE.2014.6948086
DO - 10.1109/InfoSEEE.2014.6948086
M3 - Conference contribution
AN - SCOPUS:84913533751
T3 - Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014
SP - 149
EP - 153
BT - Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014
A2 - Li, Shaozi
A2 - Cheng, Yun
A2 - Dai, Ying
A2 - Jiang, Xiaohong
PB - Institute of Electrical and Electronics Engineers Inc.
ER -