Steganographic Data Hiding using DWT and Particle Swarm Optimization
暂无分享,去创建一个
This paper discusses the steganographic data hiding using the wavelet approach and the optimisation technique. The Discrete Wavelet Transform Using Haar Wavelet gives the excellent peak signal to noise ratio (PSNR) and less computation time. The particle swarm optimisation algorithm (PSO) is also used to hide the data so that the PSNR is improved. The results reveal the DWT using Haar wavelet and PSO algorithm gives excellent PSNR. General Terms Particle Swarm Optimisation is an evolutionary algorithm like the genetic algorithm.
[1] Christian Cachin,et al. An information-theoretic model for steganography , 1998, Inf. Comput..
[2] Jun Sang,et al. Using PSO Algorithm for Simple LSB Substitution Based Steganography Scheme in DCT Transformation Domain , 2011, ICSI.
[3] Rafael C. González,et al. Digital image processing using MATLAB , 2006 .
[4] Malay Kumar Kundu,et al. Genetic algorithms for optimality of data hiding in digital images , 2008, Soft Comput..