Research on the technique of public watermarking system based on wavelet transform and neural network

Li Xu; Gu Tao

doi:10.1117/12.717879

9 April 2007 Research on the technique of public watermarking system based on wavelet transform and neural network

Li Xu, Gu Tao

Proceedings Volume 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V; 65761B (2007) https://doi.org/10.1117/12.717879
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

A hybrid algorithm of using a wavelet transform and a neural network is presented which solves the problems confronted in public watermarking systems. First, to get the wavelet coefficients, db1 wavelet is used to decompose the selected image. Second, to ensure better quality of the watermarked image, some wavelet coefficients and their closely relevant wavelet coefficients are randomly selected from the wavelet coefficients decomposed by the low pass filter and used to establish the relational model by using a neural network. Third, the bit information of the watermark is also enlarged by increasing the amount of zeros or ones and then one bit of the results is embedded by adjusting the polarity between a chosen wavelet coefficient and the output value of the model. Finally, a new image with watermark information is reconstructed by using the modified wavelet coefficients and other unmodified wavelet coefficients. On the other hand, the process of retrieving the watermark is the inverse of the embedding process. The embedded watermark can also be retrieved by using the hybrid algorithm and the restore function without knowing the original image and watermark. Experimental results show that the proposed technique is very robust against some image processing operations and JPEG lossy compression. Meanwhile, the extracted watermark can be proved by the proposed method. Because of the neural network, the proposed method is also robust against attack of false authentication. Therefore, the hybrid algorithm can be used to protect the copyright of one important image.

Citation Download Citation

Li Xu and Gu Tao "Research on the technique of public watermarking system based on wavelet transform and neural network", Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 65761B (9 April 2007); https://doi.org/10.1117/12.717879

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KEYWORDS

Digital watermarking

Wavelets

Neural networks

Image compression

Binary data

Image processing

Wavelet transforms

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