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

被引:12
|
作者
Pramanik, Sabyasachi [1 ]
Singh, R. P. [2 ]
Ghosh, Ramkrishna [3 ]
机构
[1] Haldia Inst Technol, Dept Comp Sci & Engn, Haldia, India
[2] Sri Satya Sai Univ Technol & Med Sci, Dept Comp Sci & Engn, Sehore, Madhya Pradesh, India
[3] Haldia Inst Technol, Dept Informat Technol, Haldia, India
关键词
Image steganography; Particle swarm optimization; Bi-orthogonal wavelet transform; Genetic algorithm; PSNR; Visual information fidelity; SCHEME;
D O I
10.1007/s11042-020-08676-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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.
引用
收藏
页码:17463 / 17482
页数:20
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