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Application of bi-orthogonal wavelet transform and genetic algorithm in image steganography

机译:双正交小波变换和遗传算法在图像隐写中的应用

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摘要

The Internet is used for exchanging information. Sometimes it is required to transmit confidential data over the internet. Here the authors use image steganography to embed confidential data within a cover image. To construct the technique, this article combines the help of Particle Swarm Optimization (PSO), Bi-Orthogonal Wavelet Transform (BWT) and Genetic Algorithm (GA). PSO is included to take the enhanced version of the host image. The enhanced version of the host images is more sharp and bright. Bi-Orthogonal Wavelet Transform is included to choose the selective sub-bands of the host image. Genetic Algorithm is used to select the fittest hidden image among a set of hidden images which are created after mutation. Later, the hidden image would produce a confidential password using an innovative technique. Thus an innovative technique of image steganography is introduced to transmit confidential data in a cover image. This combinational approach of image steganography is quite safe for confidential data transmission and really difficult for the attackers to retrieve the confidential data.
机译:互联网用于交换信息。有时需要通过互联网传输机密数据。这里的作者使用图像隐写术来嵌入封面图像中的机密数据。为了构建该技术,本文结合了粒子群优化(PSO),双正交小波变换(BWT)和遗传算法(GA)的帮助。包含PSO以取代主机图像的增强版本。主机图像的增强版本更尖锐和明亮。包括双正交小波变换以选择主机图像的选择性子带。遗传算法用于在突变之后创建的一组隐藏图像中选择最适合的隐藏图像。稍后,隐藏图像将使用创新技术产生机密密码。因此,引入了一种创新的图像隐写技术,以在封面图像中传输机密数据。这种图像隐喻的组合方法对于机密数据传输非常安全,并且对攻击者真正难以检索机密数据。

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