Image watermarking algorithms based on pseudo-random method

Yong-jun TANG

doi:10.3788/YJYXS20203503.0287

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Image watermarking algorithms based on pseudo-random method

Image Processing | 更新时间：2020-08-12

- Image watermarking algorithms based on pseudo-random method
- Chinese Journal of Liquid Crystals and Displays Vol. 35, Issue 3, Pages: 287-291(2020)
- 作者机构：
  
  湖南财经工业职业技术学院, 湖南衡阳 421002
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20203503.0287
  CLC： TP391
- Received：05 June 2019，
  
  Revised：16 October 2019，
  
  Accepted：16 October 2019，
  
  Published：05 March 2020
- 稿件说明：
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Yong-jun TANG. Image watermarking algorithms based on pseudo-random method[J]. Chinese journal of liquid crystals and displays, 2020, 35(3): 287-291.
DOI：

Yong-jun TANG. Image watermarking algorithms based on pseudo-random method[J]. Chinese journal of liquid crystals and displays, 2020, 35(3): 287-291. DOI： 10.3788/YJYXS20203503.0287.

摘要

由于通信技术和互联网的不断发展，诸多互联网应用如大规模网络游戏、网络支付和金融防伪都受到了安全方面的威胁和风险。为了能够在传输过程中对数据进行加密从而防止恶意篡改，本文在研究分析了主流水印算法的隐蔽性和鲁棒性基础上，提出了一个基于伪随机算法的离散小波变换水印方案。该方案将二进制伪随机数嵌入到离散小波变换（DWT）的HL和LH域中，利用伪随机数提升了数字水印的隐蔽性和鲁棒性。仿真结果表明，该算法具有较高的安全性和鲁棒性，能够有效抵抗各种攻击算法如SPIHT压缩、高斯滤波、椒盐噪声等，其峰值信噪比（PSNR）和归一化相关（NC）值都比传统水印算法有10%以上的提升。本文算法在整体上能满足数字水印的性能稳定、抗攻击能力强、隐蔽性高等要求。

Abstract

With the continuous development of communication technology and large data

many internet applications such as the large-scale network games

network payment and financial anti-counterfeiting are threatened and risked by security. In order to encrypt data in the transmission process and prevent malicious tampering

the concealment of the mainstream watermarking algorithm is studied and analysed. On the basis of robustness and robustness

a watermarking scheme of discrete wavelet transform based on pseudo-random algorithm is proposed. The algorithm embeds binary pseudo-random number into HL and LH domains of discrete wavelet transform (DWT)

and uses pseudo-random number to enhance the concealment and robustness of digital watermarking. The simulation results show that the algorithm has high security and robustness

and can effectively resist various attack algorithms such as SPIHT compression

Gauss filtering

salt and pepper noise. Its peak signal-to-noise ratio (PSNR) and normalized correlation (NC) values are more than 10% higher than the traditional watermarking algorithm. The algorithm in this paper can meet the requirements of stability

reliability

strong anti-interference and high concealment of digital watermarking on the whole.

关键词

Keywords

references

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Video watermarking algorithm based on extreme learning machine and discrete wavelet transform

Related Author

Yun-lan WANG

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School of Electro-mechanical and Information Technology, Yiwu Industrial & Commercial College, Yiwu

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