• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Non-square colour image scrambling based on two-dimensional Sine-Logistic and Hénon map

Vol. 11, No.12, December 31, 2017
10.3837/tiis.2017.12.015, Download Paper (Free):

Abstract

Image scrambling is an important technology in information hiding, where the Arnold transformation is widely used. Several researchers have proposed the application of Hénon map in square image scrambling, and certain improved technologies require scrambling many times to achieve a good effect without resisting chosen-plaintext attack although it can be directly applied to non-square images. This paper presents a non-square image scrambling algorithm, which can resist chosen-plaintext attack based on a chaotic two-dimensional Sine Logistic modulation map and Hénon map (2D-SLHM). Theoretical analysis and experimental results show that the proposed algorithm has advantages in terms of key space, efficiency, scrambling degree, ability of anti-attack and robustness to noise interference.


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Cite this article

[IEEE Style]
Siqi Zhou, Feng Xu, Ping Ping, Zaipeng Xie and Xin Lyu, "Non-square colour image scrambling based on two-dimensional Sine-Logistic and Hénon map," KSII Transactions on Internet and Information Systems, vol. 11, no. 12, pp. 5963-5980, 2017. DOI: 10.3837/tiis.2017.12.015

[ACM Style]
Zhou, S., Xu, F., Ping, P., Xie, Z., and Lyu, X. 2017. Non-square colour image scrambling based on two-dimensional Sine-Logistic and Hénon map. KSII Transactions on Internet and Information Systems, 11, 12, (2017), 5963-5980. DOI: 10.3837/tiis.2017.12.015