@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 = jan
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",
note = "1st Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2014 ; Conference date: 13-06-2014 Through 15-06-2014",
}