Digital Watermarking Algorithm Based on Wavelet Transform and Neural Network

An effective blind digital watermarking algorithm based on neural networks in the wavelet domain is presented. Firstly, the host image is decomposed through wavelet transform. The significant coefficients of wavelet are selected according to the human visual system （HVS） characteristics. Watermark b...

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Bibliographic Details
Published in:Wuhan University journal of natural sciences 2006-11, Vol.11 (6), p.1667-1670
Main Authors: Zhenfei, Wang, Guangqun, Zhai, Nengchao, Wang
Format: Article
Language:English
Subjects:
人的视觉系统
小波变换
数字水印
神经网络
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Summary:An effective blind digital watermarking algorithm based on neural networks in the wavelet domain is presented. Firstly, the host image is decomposed through wavelet transform. The significant coefficients of wavelet are selected according to the human visual system （HVS） characteristics. Watermark bits are added to them. And then effectively cooperates neural networks to learn the characteristics of the embedded watermark related to them. Because of the learning and adaptive capabilities of neural networks, the trained neural networks almost exactly recover the watermark from the watermarked image. Experimental results and comparisons with other techniques prove the effectiveness of the new algorithm.
ISSN:1007-1202
1993-4998
DOI:10.1007/BF02831846