An efficient image privacy scheme based on nonlinear chaotic system and linear canonical transformation

Usman Arshad, Majid Khan, Sajjad Shaukat, Muhammad Amin and Tariq Shah

Physica A: Statistical Mechanics and its Applications, 2020, vol. 546, issue C

Abstract: Making information invulnerable is one of the most critical issues of today’s era where information is being sent from one source to another destination with expeditious rates. In this research article, linear canonical transform (LCT) along with Lorenz differential equation is subjected for the process of double image encryption for its inherent characteristics which implies the diffusion and confusion of current era. In the contemplated method standard color images; Lena and Pepper of size 256×256 are used. Image scrambling, LCT of first order and second order along with Lorenz system are adapted as the steps on encryption process. The reverse process of defined encryption scheme is endorsed for the reformation of the original plain images separately from the single encrypted image. For quality assessment of the encryption scheme; different security and statistical analysis are performed and histograms of all the images are analyzed. As a result, statistical assessments recommended that our contemplated scheme is legitimate for the security of digital images.

Keywords: Linear canonical transform; Lorenz system; Confusion and diffusion; Chaotic systems; Statistical analysis (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:546:y:2020:i:c:s0378437119319296

DOI: 10.1016/j.physa.2019.123458

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