DocumentCode :
2963451
Title :
An Adaptive Image Watermarking Algorithm Based on Neural Network
Author :
Xu, He ; Shujuan, Chang
Author_Institution :
Xi´´an Inst. of Post & Telecommun., Xi´´an, China
Volume :
2
fYear :
2011
fDate :
28-29 March 2011
Firstpage :
408
Lastpage :
411
Abstract :
According to the characteristic of Human Visual System and the association memory ability of neural network, an adaptive image watermarking algorithm based on neural network is proposed. The watermarking signal is embedded in higher frequency, which is in the lower frequency of original image by DWT joined with DCT. The ability of attracting is improved by pretreatment and re-treatment of image scrambling and Hop field network. Experimental results show that the embedded digital watermarking is invisible and robust enough against common image processing such as JPEG compression, noises, filter and shearing.
Keywords :
Hopfield neural nets; discrete cosine transforms; discrete wavelet transforms; image watermarking; DCT; DWT; Hopfield network; JPEG compression; adaptive image watermarking algorithm; association memory ability; digital; discrete cosine transform; discrete wavelet transform; human visual system; neural network; Artificial neural networks; Discrete cosine transforms; Hopfield neural networks; Image coding; Transform coding; Watermarking; DCT; DWT; Hopfield Network; Image Scrambling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
Type :
conf
DOI :
10.1109/ICICTA.2011.386
Filename :
5750911
Link To Document :
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