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Performance Evaluation of DCT and DWT Features for Blind Image Steganalysis using Neural Networks

by Manisha Saini, Rita Chhikara
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 5
Year of Publication: 2015
Authors: Manisha Saini, Rita Chhikara
10.5120/19974-1868

Manisha Saini, Rita Chhikara . Performance Evaluation of DCT and DWT Features for Blind Image Steganalysis using Neural Networks. International Journal of Computer Applications. 114, 5 ( March 2015), 20-23. DOI=10.5120/19974-1868

@article{ 10.5120/19974-1868,
author = { Manisha Saini, Rita Chhikara },
title = { Performance Evaluation of DCT and DWT Features for Blind Image Steganalysis using Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 5 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number5/19974-1868/ },
doi = { 10.5120/19974-1868 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:53.921004+05:30
%A Manisha Saini
%A Rita Chhikara
%T Performance Evaluation of DCT and DWT Features for Blind Image Steganalysis using Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 5
%P 20-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we are comparing 72 DWT feature set with 274 DCT feature set on the basis of parameters MSE (Mean square error), Accuracy and time for Blind Image Steganalysis. Dataset is created consisting of cover images and stego images, which are obtained by using two steganography tools steghide and outguess. Extracted features are then fed to Neural network Back propagation classifier, to compare the performance. Experimental results show that DCT feature set has higher performance as compared to DWT feature set.

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Index Terms

Computer Science
Information Sciences

Keywords

DCT DWT Neural network Outguess Steganography Steganalysis StegHide.

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