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Reseach Article

Colour Image Encryption - A Wavelet Transformation Associated with Artificial Neural Network Approach

by Prateep Upadhyay, S.K. Upadhyay
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 7
Year of Publication: 2015
Authors: Prateep Upadhyay, S.K. Upadhyay
10.5120/ijca2015905520

Prateep Upadhyay, S.K. Upadhyay . Colour Image Encryption - A Wavelet Transformation Associated with Artificial Neural Network Approach. International Journal of Computer Applications. 124, 7 ( August 2015), 1-4. DOI=10.5120/ijca2015905520

@article{ 10.5120/ijca2015905520,
author = { Prateep Upadhyay, S.K. Upadhyay },
title = { Colour Image Encryption - A Wavelet Transformation Associated with Artificial Neural Network Approach },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 7 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number7/22119-2015905520/ },
doi = { 10.5120/ijca2015905520 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:13:43.963095+05:30
%A Prateep Upadhyay
%A S.K. Upadhyay
%T Colour Image Encryption - A Wavelet Transformation Associated with Artificial Neural Network Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 7
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image encoding decoding concept is studied by using the techniques of wavelet transformation, artificial neural network(ANN)and threshold value. The aforesaid techniques are useful in encoding and decoding. This process gives more ensured, a three leveled security to the images in three different terms. First is wavelet transformation. Second is encoding decoding keys along with weights of ANN and third is the threshold value for the decoding process. The decoding process does not start until the correct threshold value is entered.

References
  1. Daubechies .I: Ten Lectures toWavelets, SIAM, Philadelphia, Pennsylvania, USA,1992.
  2. Gonzalez C. Rafael, Woods E. Richard, Eddins L. Steven: Digital image processing 3rd edition,Eighth Impression.
  3. Gonzalez C. Rafael, Woods E. Richard, Eddins L. Steven: Digital image processing using MATLAB 2nd edition,2007.
  4. Kumar Manish, Mishra D.C., Sharma R.K. :A first approach on an RGB image encryption, Elsevier Optics and Lasers in Engineering 52(2014)27- 34,Department of Mathematics,Birla Institute of Technology and Science-Pilani,Hyderabad Campus, Hyderabad500078,AndhraPradesh,India,Department of Mathematics,Indian Institute of Technology, Delhi,HauzKhas110016,NewDelhi,India.
  5. Lokenath Debnath: Wavelet Transforms and their applications.
  6. Prasad Akhilesh,Kumar Manish,Roy Choudhury Devdeep: Color image encoding using fractional Fourier transformation associated with wavelet transformation,Elsevier Optics Communications 285 (2012) 1005-1009,Department of Applied Mathematics, Indian School of Mines, Dhanbad-826004, India.
  7. Pathak R.S.: The Wavelet Transform, Atlantis Press/World Scientific, Amsterdam,Paris, 2009.
  8. Sivanandam S.N., Sumathi S, Deepa S.N.: Introduction to Neural Networks Using Matlab 6.0 , Tata McGraw Hill Education Private Limited New Delhi,2009.
Index Terms

Computer Science
Information Sciences

Keywords

ANN Threshold value Keys Weights