Design and Realization of a Meaningful Digital Watermarking Algorithm Based on RBF Neural Network

Author

Liu, Quan ; Jiang, Xuemei

Author_Institution

Sch. of Inf. Eng., Wuhan Univ. of Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

2878

Lastpage

2881

Abstract

A meaningful digital image watermarking algorithm based on RBF (radial basis function) neural network is proposed in this paper. RBF neural network is used to simulate human visual specialty to determine the watermark embedding intensity endured by DCT coefficients and the watermarking is a meaningful two value image. It is pre-treated by Arnold scrambling algorithm, and then is embedded into DCT coefficients. So this algorithm has good stability. The experiments of results show that the algorithm has good robustness against all kinds of attacks

Keywords

discrete cosine transforms; image coding; radial basis function networks; watermarking; Arnold scrambling algorithm; DCT coefficients; human visual specialty; radial basis function neural network; watermark embedding intensity; Algorithm design and analysis; Digital images; Discrete cosine transforms; Educational technology; Frequency domain analysis; Humans; Neural networks; Protection; Robustness; Watermarking; Digital Watermarking; Neural Network; RBF;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712891

Filename

1712891