DocumentCode
2505466
Title
Blind watermarking scheme based on neural network
Author
Huang, Song ; Zhang, Wei ; Feng, Wei ; Yang, Huaqian
fYear
2008
fDate
25-27 June 2008
Firstpage
5985
Lastpage
5989
Abstract
A novel blind watermarking technique based on back propagation neural networks is proposed. The proposed watermarking technique hides a scrambled watermark into an image, and takes HVS characteristics into consideration during the watermark embedding process, then uses a back propagation neural network to learn the characteristics of the embedded watermark related to the watermarked image. With the aid of the learning and adaptive capabilities of neural network, the trained neural network can exactly recover the watermark from the watermarked image. Extensive experiments show that the proposed watermarking algorithm has a good imperceptibility and high robustness to various common image processing attacks.
Keywords
backpropagation; image coding; neural nets; watermarking; back propagation neural network; blind watermarking scheme; human visual system; image processing; scrambled watermark; watermark embedding process; Artificial neural networks; Biological neural networks; Computer science education; Discrete cosine transforms; Discrete wavelet transforms; Educational institutions; Hopfield neural networks; Neural networks; Robustness; Watermarking; digital watermarking; human visual system (HVS); neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594557
Filename
4594557
Link To Document