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