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Reseach Article

Steganographic Data Hiding using DWT and Particle Swarm Optimization

by E Divya, P.rajkumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 14
Year of Publication: 2015
Authors: E Divya, P.rajkumar
10.5120/20624-3357

E Divya, P.rajkumar . Steganographic Data Hiding using DWT and Particle Swarm Optimization. International Journal of Computer Applications. 117, 14 ( May 2015), 30-34. DOI=10.5120/20624-3357

@article{ 10.5120/20624-3357,
author = { E Divya, P.rajkumar },
title = { Steganographic Data Hiding using DWT and Particle Swarm Optimization },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 14 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number14/20624-3357/ },
doi = { 10.5120/20624-3357 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:59:25.130662+05:30
%A E Divya
%A P.rajkumar
%T Steganographic Data Hiding using DWT and Particle Swarm Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 14
%P 30-34
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

PSO DWT LSB DCT PSNR