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Issue title: Mathematical Modelling in Computational and Life Sciences
Guest editors: Ahmed Farouk
Article type: Research Article
Authors: Abd-Elhafiez, Walaa M.a; b; * | Heshmat, Mohamedc
Affiliations: [a] Mathematical and Computer Science Department, Faculty of Science, Sohag University, Sohag, Egypt | [b] College of Computer Science & Information Technology, Jazan University, Jazan, KSA | [c] Faculty of Information and Technology, Sohag University, Sohag, Egypt
Correspondence: [*] Corresponding author. Walaa M. Abd-Elhafiez, Emails: w_a_led@yahoo.com, walaa.hussien@science.sohag.edu.eg.
Abstract: A new method to enhance image encryption is proposed. It is based on lifting transform and edge detection technique, the edge detection is selected as a way that it increases the capacity of hidden data, which smooth (non-edge) area hide small amount of information as compared to edge area. Initially, the lifting transform will apply on entering image. For approximate part, the simplest edge detection technique is applied, then, the image into N×N blocks is divided, the selection of key for edge will be different about non-edge block. To make the proposed method better enough, different techniques are used, one for the edge block and another for non-edge block. The proposed method is proved resists in most of security attacks. Further different testes analysis as entropy, correlation and histogram analysis is used to verify the performance of proposed method.
Keywords: Encryption, lifting transform, gray image, edge detection
DOI: 10.3233/JIFS-179568
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2823-2832, 2020
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