Friday 24th of November 2017
 

A Novel Image Scrambling Technique Based On Information Entropy And Quad Tree Decomposition


Prabhudev Jagadeesh, P Nagabhushan and R.Pradeep Kumar

With the rapid increase of digital data exchange and increased usage of digital images, it is important to protect the confidential image data from illegal access. Digital image scrambling or encryption is the solution which transforms a meaningful image into a meaningless or disordered image in order to enhance the ability to confront attack and in turn improve the security. This paper presents a new scheme for digital image scrambling based on the principle of information entropy. The quad tree decomposition technique is used to hierarchically divide the image into blocks or regions for enforcing security at the block or region level of an image, which thus ensures the security of the entire image. The experimental results show that the proposed algorithm can successfully scramble the images, and the analysis of the algorithm also demonstrate that the scrambled images have good information entropy and low correlation coefficients thereby satisfying the requisite security.

Keywords: Image Encryption, Scrambling, Image Entropy, Image correlation, Image histogram, Quad tree

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ABOUT THE AUTHORS

Prabhudev Jagadeesh
Prabhudev Jagadeesh, is an Associate Professor in the Department of Computer Science and Engineering, Adithya Institute of Technology, Coimbatore, India. He completed his B.E degree in Computer Science and Engineering in 1997 from University of Mysore and M.Tech degree in Software Engineering in 2001 from VTU, Belgaum, India. Currently he is pursuing his PhD at University of Mysore, Mysore, India. He has over 15 years of teaching and research experience. His areas of research include Computer Vision and Information Security.

P Nagabhushan
Dr. P Nagabhushan (BE-1980, M.Tech.1983, PhD-1989) is presently Professor, Department of Studies in Computer Science and also Chief Nodal Officer, Credit based choice based Education, University of Mysore. He is an active Researcher in the areas pertaining to Pattern Recognition, Document Image Processing, Symbolic Data Analysis and Data Mining. Till now he has successfully supervised 20 PhD candidates. He has over 400 publications in journals and conferences of International repute. He has chaired several international conferences. He is a visiting professor to USA, Japan and France. He is a fellow of Institution of Engineers (FIE) and Institution of Electronics and Telecommunication Engineers (FIETE) India.

R.Pradeep Kumar
Dr. R.Pradeep Kumar is Professor & Head, Department of Computer Science and Engineering, Adithya Institute of Technology, Coimbatore, India. He holds PhD in Computer Science from University of Mysore. His areas of research include Image Processing, Video Analytics, Symbolic data, Knowledge Engineering. He is currently supervising 7 PhD candidates. He has served as Head of Training and R&D sections at TCS Chennai. He has more than 25 publications in his areas of research.


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