Design and realization of a meaningful digital watermarking algorithm based on RBF neural network

被引：0

作者：

Liu, Quan ^{[1
]}

Jiang, Xuemei ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Peoples R China

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

digital watermarking; RBF; neural network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A meaningful digital image watermarking algorithm based on RBF(Radial Basis Function Neural Network)neural network is proposed in this paper. RBF Neural network is used to simulate human visual speciality to determine the watermark embedding intensity endured by DCT coefficients and the watermarking is a meaningful two value image. It is pretreated 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.

引用

页码：2878 / 2881

页数：4

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