An Adaptive-Selective Image Encryption with Orthogonal Polynomials, Chaos, LU decomposition and Square-wave Shuffling

Abstract

Despite current advances in the field of selective image encryption, some of the most pressing challenges remained unsolved, like creating an efficient windowing methodology for Region of Interest (ROI) based pixel selection, or giving the user or deployment endpoint dynamic control over the encryption level. To meet all these requirements, we propose a new selective image encryption technique based on hyperchaos, creation of random artificial image, orthogonal polynomials transformation and dynamic permutation matrix using Lower Upper (LU) Decomposition. The proposed method is compared with existing encryption techniques and is found to outperform the existing schemes.

Aditya Jyoti Paul

Technical Program Manager and CV/AI Researcher

My work makes machines smarter, secure and more accessible. I’m passionate about research, teaching and blogging. Outside academia, I love travel, music, reading and meeting new people!