Abstract
This study presents an optimization-based image watermarking scheme that applies summation quantization technique to multi-coefficients of discrete wavelet transform (DWT). Peak signal-to-noise ratio (PSNR) and bit error ratio (BER) are commonly performance indexes in measuring the quality and robustness of an image watermarking scheme. To optimize the tradeoff between PSNR and BER, we minimize the difference between original and watermarked frequency coefficients. First, PSNR is expressed as a performance index using matrix form. Then, an optimized-quality functional that relates the performance index to the summation quantization technique is obtained. Finally, the Lagrange Principle is utilized to obtain the optimal solution. The optimal solution is applied to watermarking. Experimental results show that the watermarked image can keep high PSNR and achieve better BER even when the number of coefficients for embedding a watermark bit increases.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015 |
| Editors | Gang Huang, William Chu, Pao-Ann Hsiung, Jingwei Yang, Carl K. Chang, Sheikh Iqbal Ahamed, Ivica Crnkovic |
| Publisher | IEEE Computer Society |
| Pages | 68-74 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781467365635 |
| DOIs | |
| Publication status | Published - 2015 Sep 21 |
| Event | 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015 - Taichung, Taiwan Duration: 2015 Jul 1 → 2015 Jul 5 |
Publication series
| Name | Proceedings - International Computer Software and Applications Conference |
|---|---|
| Volume | 1 |
| ISSN (Print) | 0730-3157 |
Other
| Other | 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015 |
|---|---|
| Country | Taiwan |
| City | Taichung |
| Period | 15-07-01 → 15-07-05 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Science Applications
Cite this
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Optimizing PSNR for image watermarking using summation quantization on DWT coefficients. / Yang, Chao Tung; Chu, William C.C.; Huang, Huan Nan; Chen, Shuo Tsung; Chen, Der Fa; Lin, Chiu Chun; Chang, Chih Hung.
Proceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015. ed. / Gang Huang; William Chu; Pao-Ann Hsiung; Jingwei Yang; Carl K. Chang; Sheikh Iqbal Ahamed; Ivica Crnkovic. IEEE Computer Society, 2015. p. 68-74 7273294 (Proceedings - International Computer Software and Applications Conference; Vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Optimizing PSNR for image watermarking using summation quantization on DWT coefficients
AU - Yang, Chao Tung
AU - Chu, William C.C.
AU - Huang, Huan Nan
AU - Chen, Shuo Tsung
AU - Chen, Der Fa
AU - Lin, Chiu Chun
AU - Chang, Chih Hung
PY - 2015/9/21
Y1 - 2015/9/21
N2 - This study presents an optimization-based image watermarking scheme that applies summation quantization technique to multi-coefficients of discrete wavelet transform (DWT). Peak signal-to-noise ratio (PSNR) and bit error ratio (BER) are commonly performance indexes in measuring the quality and robustness of an image watermarking scheme. To optimize the tradeoff between PSNR and BER, we minimize the difference between original and watermarked frequency coefficients. First, PSNR is expressed as a performance index using matrix form. Then, an optimized-quality functional that relates the performance index to the summation quantization technique is obtained. Finally, the Lagrange Principle is utilized to obtain the optimal solution. The optimal solution is applied to watermarking. Experimental results show that the watermarked image can keep high PSNR and achieve better BER even when the number of coefficients for embedding a watermark bit increases.
AB - This study presents an optimization-based image watermarking scheme that applies summation quantization technique to multi-coefficients of discrete wavelet transform (DWT). Peak signal-to-noise ratio (PSNR) and bit error ratio (BER) are commonly performance indexes in measuring the quality and robustness of an image watermarking scheme. To optimize the tradeoff between PSNR and BER, we minimize the difference between original and watermarked frequency coefficients. First, PSNR is expressed as a performance index using matrix form. Then, an optimized-quality functional that relates the performance index to the summation quantization technique is obtained. Finally, the Lagrange Principle is utilized to obtain the optimal solution. The optimal solution is applied to watermarking. Experimental results show that the watermarked image can keep high PSNR and achieve better BER even when the number of coefficients for embedding a watermark bit increases.
UR - http://www.scopus.com/inward/record.url?scp=84962418079&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962418079&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC.2015.194
DO - 10.1109/COMPSAC.2015.194
M3 - Conference contribution
AN - SCOPUS:84962418079
T3 - Proceedings - International Computer Software and Applications Conference
SP - 68
EP - 74
BT - Proceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015
A2 - Huang, Gang
A2 - Chu, William
A2 - Hsiung, Pao-Ann
A2 - Yang, Jingwei
A2 - Chang, Carl K.
A2 - Ahamed, Sheikh Iqbal
A2 - Crnkovic, Ivica
PB - IEEE Computer Society
ER -