Regression Analysis of Colour Images using Slicer Component Method in Moving Environments

Authors

  • Dr. S. Manikandan Associate Professor & Head, Department of Information Technology, E.G.S. Pillay Engineering College (Autonomous), Nagapattinam, TN, IND. Author
  • Dr. S. Pasupathy Associate Professor, Department of Computer Science and Engineering, Annamalai University, Chidambaram, TN, IND. Author
  • AL Hanees Senior Lecturer, Department of Computer Science & Head of Mathematical Sciences, South Eastern University of Sri Lanka, Sammandhurai, Sri Lanka. Author

DOI:

https://doi.org/10.54368/qijirse.1.1.0001

Keywords:

Regression Analysis, Colour Images, Multi-resolution, Slicer Components, Moving Environments

Abstract

As we know, the Internet is widely used to share and retrieve information. Shares large amounts of information that need to be protected from unauthorized access. In it the secret colour image of any format in which the text is hidden is divided into multiple pieces. The individual slice does not give the impression of an original secret image. The original image appears after the pieces are stacked. These pieces can be sent to the desired receiver via the Internet. The pieces look like pictures so they indirectly invite hackers. The pieces are encrypted and securely transferred to prevent hacker interference in this particular way.

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Published

2022/03/30

Issue

Section

Original Articles

How to Cite

Manikandan, S., Pasupathy, S., & Hanees, A. L. (2022). Regression Analysis of Colour Images using Slicer Component Method in Moving Environments. Quing: International Journal of Innovative Research in Science and Engineering, 1(1), 1-5. https://doi.org/10.54368/qijirse.1.1.0001