Hybrid Cryptosystem with Computational Ghost Imaging Based on Integer Wavelet Transform and Chaotic Maps

Authors

DOI:

https://doi.org/10.14500/aro.12153

Keywords:

Chaotic maps, Cryptography, Ghost imaging, Optical image encryption, Wavelet transform

Abstract

Computational ghost imaging encryption (CGIE) has gained increasing attention from researchers in the field of optical cryptography due to its unique phenomenon. However, traditional CGIE suffers from long imaging time, inherent system linearity, and an enormous number of random phase masks that must be transmitted as secret keys, which limits its application in practical communication. In this paper, a hybrid optical image encryption approach is proposed using CGIE based on integer wavelet transform and chaotic maps. In addition, Hadamard basis patterns are employed to reduce sampling times and improve reconstructed image quality. Simulation results demonstrate that the proposed system is robust against different types of attacks with high key sensitivity and low execution times of 0.03 s for encryption and 0.14 s for decryption. This approach will ensure broader adoption of this technology by facilitating its integration into cryptosystems.

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Author Biographies

Khalid T. Alnidawi, Department of Computer Science, College of Computer Science and IT, University of Anbar, Ramadi, Iraq

Khalid T. Alnidawi is an M.Sc. student in Computer Science at the College of Computer Science and Information Technology, University of Anbar. He received the B.Sc. degree in Computer Science from Al-Rafidain University College, Baghdad, Iraq. His research interests include database management, image encryption, and cybersecurity.

Ali M. Sagheer, Department of Computer Networks System, College of Computer Science and IT, University of Anbar, Ramadi, Iraq

Ali M. Sagheer is a Professor at the Department of Computer Network Systems, College of Computer Science and Information Technology, University of Anbar. He received the B.Sc. degree in Computer Science from the University of Technology, Iraq (2001), the M.Sc. degree in Computer Science from the same university (2005), and the Ph.D. degree in Computer Science (2007), also from the University of Technology, Iraq. His research interests include cybersecurity, cryptology, information and network security, number theory, coding systems, multimedia compression, image processing, and artificial intelligence. 

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Published

2025-06-05

How to Cite

Alnidawi, K. T. and Sagheer, A. M. (2025) “Hybrid Cryptosystem with Computational Ghost Imaging Based on Integer Wavelet Transform and Chaotic Maps”, ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 13(1), pp. 215–226. doi: 10.14500/aro.12153.

Issue

Vol. 13 No. 1 (2025): Edition Twenty Four

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Articles

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Copyright (c) 2025 Khalid T. Alnidawi, Ali M. Sagheer

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Received 2025-03-27
Accepted 2025-05-22
Published 2025-06-05

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