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