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An Approach of an Image Watermarking Scheme using Neural Network

by Asmaa Qasim Shareef, Roaa Essam Fadel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 92 - Number 1
Year of Publication: 2014
Authors: Asmaa Qasim Shareef, Roaa Essam Fadel
10.5120/15977-4872

Asmaa Qasim Shareef, Roaa Essam Fadel . An Approach of an Image Watermarking Scheme using Neural Network. International Journal of Computer Applications. 92, 1 ( April 2014), 44-48. DOI=10.5120/15977-4872

@article{ 10.5120/15977-4872,
author = { Asmaa Qasim Shareef, Roaa Essam Fadel },
title = { An Approach of an Image Watermarking Scheme using Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 92 },
number = { 1 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume92/number1/15977-4872/ },
doi = { 10.5120/15977-4872 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:13:11.773216+05:30
%A Asmaa Qasim Shareef
%A Roaa Essam Fadel
%T An Approach of an Image Watermarking Scheme using Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 92
%N 1
%P 44-48
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An approach of an image watermarking scheme using neural network is presented in this work. In the proposed approach, watermark comes from the weights of an identify image that are loaded from a learned feed-forward neural network, the neural network is learned by using the back-propagation learning algorithm. To improve the robustness of watermarked image; the procedure of watermark embedding is embedded into host image through selecting and modifying the Gaussian coefficients comes from a noisy image. The noised image is damaged by the salt and pepper noise. In order to identify the cover of extracted watermark, feed-forward neural network is used in the watermarking identification to overcome the limitation of unknown data comes randomly. The results of the scheme realization show the robustness of proposed scheme that has preferable performance for both identification and watermarking of a noised image

References
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Index Terms

Computer Science
Information Sciences

Keywords

feed-forward neural network salt and pepper noise Gaussian filter coefficients.

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