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Reseach Article

Secure Image of Reversible Data Hiding and Deep Learning Algorithms for Image Reconstruction

by Somya Jain, Rahul Sahu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 12
Year of Publication: 2021
Authors: Somya Jain, Rahul Sahu
10.5120/ijca2021920996

Somya Jain, Rahul Sahu . Secure Image of Reversible Data Hiding and Deep Learning Algorithms for Image Reconstruction. International Journal of Computer Applications. 174, 12 ( Jan 2021), 13-16. DOI=10.5120/ijca2021920996

@article{ 10.5120/ijca2021920996,
author = { Somya Jain, Rahul Sahu },
title = { Secure Image of Reversible Data Hiding and Deep Learning Algorithms for Image Reconstruction },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2021 },
volume = { 174 },
number = { 12 },
month = { Jan },
year = { 2021 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number12/31729-2021920996/ },
doi = { 10.5120/ijca2021920996 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:54.288537+05:30
%A Somya Jain
%A Rahul Sahu
%T Secure Image of Reversible Data Hiding and Deep Learning Algorithms for Image Reconstruction
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 12
%P 13-16
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Steganography is one of the powerful techniques in data hiding. It is the branch of secret communication where the cover image is recovered after the embedded data is extracted from the stego image. One of the applications of steganography is Reversible Data hiding (RDH) and deep learning. RDH is the method in which original cover can be losslessly recovered after the embedded message is extracted. Deep learning models are well known as deep black boxes in which the process from the input to the output is very complex, and thus the deep learning model for information hiding is almost impossible for opponents to reconstruct. An attempt has been made to present a Threshold Based Reversible Data Hiding (TBRDH) and deep learning by creating space before encryption and different metric parameters like mean square error, PSNR, SSIM, NAE and NCC are calculated for the cover image and reconstructed image.

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Index Terms

Computer Science
Information Sciences

Keywords

Reversible Data Image Reconstruction Secure Image PSNR SSIM