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

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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