Optimizing PSNR for image watermarking using summation quantization on DWT coefficients

Chao Tung Yang, William C.C. Chu, Huan Nan Huang, Shuo Tsung Chen, Der Fa Chen, Chiu Chun Lin, Chih Hung Chang

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Proceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015
編輯Gang Huang, William Chu, Pao-Ann Hsiung, Jingwei Yang, Carl K. Chang, Sheikh Iqbal Ahamed, Ivica Crnkovic
發行者IEEE Computer Society
頁面68-74
頁數7
ISBN(電子)9781467365635
DOIs
出版狀態Published - 2015 九月 21
事件2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015 - Taichung, Taiwan
持續時間: 2015 七月 12015 七月 5

出版系列

名字Proceedings - International Computer Software and Applications Conference
1
ISSN(列印)0730-3157

Other

Other2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015
國家Taiwan
城市Taichung
期間15-07-0115-07-05

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications

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