An Improved Algorithm of Digital Watermarking Based on Wavelet Transform Using Learning Automata

被引：0

作者：

Evsutin, Oleg ^{[1
]}

Meshcheryakov, Roman ^{[1
]}

Genrikh, Viktor ^{[1
]}

Nekrasov, Denis ^{[1
]}

Yugov, Nikolai ^{[2
]}

机构：

[1] Tomsk State Univ Control Syst & Radioelect, Dept Secur Informat Syst, Tomsk, Russia

[2] Tomsk State Univ Control Syst & Radioelect, Dept Math, Tomsk, Russia

来源：

2017 SECOND RUSSIA AND PACIFIC CONFERENCE ON COMPUTER TECHNOLOGY AND APPLICATIONS (RPC 2017) | 2017年

关键词：

information security; digital steganography; watermarking; learning automata;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we present an algorithm for embedding digital watermarks in digital images. Embedding is based on block quantization of DWT coefficients. A distinctive feature of this paper is the use of learning automata for the optimal redistribution of energy in blocks of DWT coefficients during the quantization. The obtained algorithm is highly efficient in terms of the quality criteria for embedding and can be used both for embedding digital watermarks and for arbitrary messages.

引用

页码：49 / 53

页数：5

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