A Watermarking Method Using Quantization and Statistical Characteristics of Wavelet Transform

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	Similar Articles Articles by KeunDuck Byun Articles by Sangjin Lee Articles by HyungJun Kim

Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)

Dalian, China

December 05-December 08

ISBN: 0-7695-2405-2

	ASCII Text	x
	KeunDuck Byun, Sangjin Lee, HyungJun Kim, "A Watermarking Method Using Quantization and Statistical Characteristics of Wavelet Transform," Parallel and Distributed Computing Applications and Technologies, International Conference on, pp. 689-693, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005.

	BibTex	x
	@article{ 10.1109/PDCAT.2005.57, author = {KeunDuck Byun and Sangjin Lee and HyungJun Kim}, title = {A Watermarking Method Using Quantization and Statistical Characteristics of Wavelet Transform}, journal ={Parallel and Distributed Computing Applications and Technologies, International Conference on}, volume = {0}, year = {2005}, isbn = {0-7695-2405-2}, pages = {689-693}, doi = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.57}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Parallel and Distributed Computing Applications and Technologies, International Conference on TI - A Watermarking Method Using Quantization and Statistical Characteristics of Wavelet Transform SN - 0-7695-2405-2 SP689 EP693 A1 - KeunDuck Byun, A1 - Sangjin Lee, A1 - HyungJun Kim, PY - 2005 KW - null VL - 0 JA - Parallel and Distributed Computing Applications and Technologies, International Conference on ER -

KeunDuck Byun, Korea University, Seoul, Korea

Sangjin Lee, Korea University, Seoul, Korea

HyungJun Kim, Hansei University, Korea

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PDCAT.2005.57

A statistical watermarking method is proposed in this paper. The proposed method uses two dzferent algorithm according to the statistical characteristic of wavelet subbands of m input image. We embed a logo watermark at the middle-frequency band for the robustness of it. The proposed method is a blind scheme, so we need only the watermarked image when the embedded watermark is extracted. We achieved PSNR values around 40dB as shown in the experiment results. It has vely fast processing speed and also robust against attacks.

Citation:

KeunDuck Byun, Sangjin Lee, HyungJun Kim, "A Watermarking Method Using Quantization and Statistical Characteristics of Wavelet Transform," pdcat, pp.689-693, Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05), 2005

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