Wavelet-domain image watermarking using optimization-based mean quantization

Huang Nan Huang, Der-fa Chen, Chiu Chun Lin, Shuo Tsung Chen

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

2 Citations (Scopus)

Abstract

This study presents an image watermarking scheme that uses optimization-based mean quantization in the wavelet domain. In the proposed scheme, multi-coefficients of DWT are utilized for image watermarking. To modify these coefficients in mean quantization technique, an optimization formula is derived. First, the peak signal-to-noise ratio (PSNR) is expressed as a performance index in matrix form. Then, an optimized-quality functional that relates the performance index to the mean-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 publicationIntelligent Data Analysis and Its Applications - the 1st Euro-China Conference on Intelligent Data Analysis and Applications, Proceeding
EditorsVaclav Snasel, Ajith Abraham, Emilio S. Corchado, Shyue-Liang Wang, Jeng-Shyang Pan, Jeng-Shyang Pan
PublisherSpringer Verlag
Pages279-286
Number of pages8
ISBN (Electronic)9783319077758
DOIs
Publication statusPublished - 2014 Jan 1
Event1st Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2014 - Shenzhen, China
Duration: 2014 Jun 132014 Jun 15

Publication series

NameAdvances in Intelligent Systems and Computing
Volume297
ISSN (Print)2194-5357

Other

Other1st Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2014
CountryChina
CityShenzhen
Period14-06-1314-06-15

Fingerprint

Image watermarking
Signal to noise ratio
Watermarking

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Huang, H. N., Chen, D., Lin, C. C., & Chen, S. T. (2014). Wavelet-domain image watermarking using optimization-based mean quantization. In V. Snasel, A. Abraham, E. S. Corchado, S-L. Wang, J-S. Pan, & J-S. Pan (Eds.), Intelligent Data Analysis and Its Applications - the 1st Euro-China Conference on Intelligent Data Analysis and Applications, Proceeding (pp. 279-286). (Advances in Intelligent Systems and Computing; Vol. 297). Springer Verlag. https://doi.org/10.1007/978-3-319-07776-5_29
Huang, Huang Nan ; Chen, Der-fa ; Lin, Chiu Chun ; Chen, Shuo Tsung. / Wavelet-domain image watermarking using optimization-based mean quantization. Intelligent Data Analysis and Its Applications - the 1st Euro-China Conference on Intelligent Data Analysis and Applications, Proceeding. editor / Vaclav Snasel ; Ajith Abraham ; Emilio S. Corchado ; Shyue-Liang Wang ; Jeng-Shyang Pan ; Jeng-Shyang Pan. Springer Verlag, 2014. pp. 279-286 (Advances in Intelligent Systems and Computing).
@inproceedings{3c40cd3b6e67457291eb1e30ca129dc6,
title = "Wavelet-domain image watermarking using optimization-based mean quantization",
abstract = "This study presents an image watermarking scheme that uses optimization-based mean quantization in the wavelet domain. In the proposed scheme, multi-coefficients of DWT are utilized for image watermarking. To modify these coefficients in mean quantization technique, an optimization formula is derived. First, the peak signal-to-noise ratio (PSNR) is expressed as a performance index in matrix form. Then, an optimized-quality functional that relates the performance index to the mean-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 = "Huang, {Huang Nan} and Der-fa Chen and Lin, {Chiu Chun} and Chen, {Shuo Tsung}",
year = "2014",
month = "1",
day = "1",
doi = "10.1007/978-3-319-07776-5_29",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "279--286",
editor = "Vaclav Snasel and Ajith Abraham and Corchado, {Emilio S.} and Shyue-Liang Wang and Jeng-Shyang Pan and Jeng-Shyang Pan",
booktitle = "Intelligent Data Analysis and Its Applications - the 1st Euro-China Conference on Intelligent Data Analysis and Applications, Proceeding",
address = "Germany",

}

Huang, HN, Chen, D, Lin, CC & Chen, ST 2014, Wavelet-domain image watermarking using optimization-based mean quantization. in V Snasel, A Abraham, ES Corchado, S-L Wang, J-S Pan & J-S Pan (eds), Intelligent Data Analysis and Its Applications - the 1st Euro-China Conference on Intelligent Data Analysis and Applications, Proceeding. Advances in Intelligent Systems and Computing, vol. 297, Springer Verlag, pp. 279-286, 1st Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2014, Shenzhen, China, 14-06-13. https://doi.org/10.1007/978-3-319-07776-5_29

Wavelet-domain image watermarking using optimization-based mean quantization. / Huang, Huang Nan; Chen, Der-fa; Lin, Chiu Chun; Chen, Shuo Tsung.

Intelligent Data Analysis and Its Applications - the 1st Euro-China Conference on Intelligent Data Analysis and Applications, Proceeding. ed. / Vaclav Snasel; Ajith Abraham; Emilio S. Corchado; Shyue-Liang Wang; Jeng-Shyang Pan; Jeng-Shyang Pan. Springer Verlag, 2014. p. 279-286 (Advances in Intelligent Systems and Computing; Vol. 297).

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

TY - GEN

T1 - Wavelet-domain image watermarking using optimization-based mean quantization

AU - Huang, Huang Nan

AU - Chen, Der-fa

AU - Lin, Chiu Chun

AU - Chen, Shuo Tsung

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This study presents an image watermarking scheme that uses optimization-based mean quantization in the wavelet domain. In the proposed scheme, multi-coefficients of DWT are utilized for image watermarking. To modify these coefficients in mean quantization technique, an optimization formula is derived. First, the peak signal-to-noise ratio (PSNR) is expressed as a performance index in matrix form. Then, an optimized-quality functional that relates the performance index to the mean-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 image watermarking scheme that uses optimization-based mean quantization in the wavelet domain. In the proposed scheme, multi-coefficients of DWT are utilized for image watermarking. To modify these coefficients in mean quantization technique, an optimization formula is derived. First, the peak signal-to-noise ratio (PSNR) is expressed as a performance index in matrix form. Then, an optimized-quality functional that relates the performance index to the mean-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=84928185959&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84928185959&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-07776-5_29

DO - 10.1007/978-3-319-07776-5_29

M3 - Conference contribution

T3 - Advances in Intelligent Systems and Computing

SP - 279

EP - 286

BT - Intelligent Data Analysis and Its Applications - the 1st Euro-China Conference on Intelligent Data Analysis and Applications, Proceeding

A2 - Snasel, Vaclav

A2 - Abraham, Ajith

A2 - Corchado, Emilio S.

A2 - Wang, Shyue-Liang

A2 - Pan, Jeng-Shyang

A2 - Pan, Jeng-Shyang

PB - Springer Verlag

ER -

Huang HN, Chen D, Lin CC, Chen ST. Wavelet-domain image watermarking using optimization-based mean quantization. In Snasel V, Abraham A, Corchado ES, Wang S-L, Pan J-S, Pan J-S, editors, Intelligent Data Analysis and Its Applications - the 1st Euro-China Conference on Intelligent Data Analysis and Applications, Proceeding. Springer Verlag. 2014. p. 279-286. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-07776-5_29