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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015
EditorsGang Huang, William Chu, Pao-Ann Hsiung, Jingwei Yang, Carl K. Chang, Sheikh Iqbal Ahamed, Ivica Crnkovic
PublisherIEEE Computer Society
Pages68-74
Number of pages7
ISBN (Electronic)9781467365635
DOIs
Publication statusPublished - 2015 Sep 21
Event2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015 - Taichung, Taiwan
Duration: 2015 Jul 12015 Jul 5

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume1
ISSN (Print)0730-3157

Other

Other2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015
CountryTaiwan
CityTaichung
Period15-07-0115-07-05

Fingerprint

Image watermarking
Discrete wavelet transforms
Signal to noise ratio
Watermarking

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications

Cite this

Yang, C. T., Chu, W. C. C., Huang, H. N., Chen, S. T., Chen, D. F., Lin, C. C., & Chang, C. H. (2015). Optimizing PSNR for image watermarking using summation quantization on DWT coefficients. In G. Huang, W. Chu, P-A. Hsiung, J. Yang, C. K. Chang, S. I. Ahamed, & I. Crnkovic (Eds.), Proceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015 (pp. 68-74). [7273294] (Proceedings - International Computer Software and Applications Conference; Vol. 1). IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2015.194
Yang, Chao Tung ; Chu, William C.C. ; Huang, Huan Nan ; Chen, Shuo Tsung ; Chen, Der Fa ; Lin, Chiu Chun ; Chang, Chih Hung. / Optimizing PSNR for image watermarking using summation quantization on DWT coefficients. Proceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015. editor / Gang Huang ; William Chu ; Pao-Ann Hsiung ; Jingwei Yang ; Carl K. Chang ; Sheikh Iqbal Ahamed ; Ivica Crnkovic. IEEE Computer Society, 2015. pp. 68-74 (Proceedings - International Computer Software and Applications Conference).
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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.",
author = "Yang, {Chao Tung} and Chu, {William C.C.} and Huang, {Huan Nan} and Chen, {Shuo Tsung} and Chen, {Der Fa} and Lin, {Chiu Chun} and Chang, {Chih Hung}",
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Yang, CT, Chu, WCC, Huang, HN, Chen, ST, Chen, DF, Lin, CC & Chang, CH 2015, Optimizing PSNR for image watermarking using summation quantization on DWT coefficients. in G Huang, W Chu, P-A Hsiung, J Yang, CK Chang, SI Ahamed & I Crnkovic (eds), Proceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015., 7273294, Proceedings - International Computer Software and Applications Conference, vol. 1, IEEE Computer Society, pp. 68-74, 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015, Taichung, Taiwan, 15-07-01. https://doi.org/10.1109/COMPSAC.2015.194

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 proceedingConference contribution

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Yang CT, Chu WCC, Huang HN, Chen ST, Chen DF, Lin CC et al. Optimizing PSNR for image watermarking using summation quantization on DWT coefficients. In Huang G, Chu W, Hsiung P-A, Yang J, Chang CK, Ahamed SI, Crnkovic I, editors, Proceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference - Stephen S. Yau Academic Symposium, COMPSAC 2015. IEEE Computer Society. 2015. p. 68-74. 7273294. (Proceedings - International Computer Software and Applications Conference). https://doi.org/10.1109/COMPSAC.2015.194