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Multiple Image Fusion Encryption (MIFE) using Discrete Cosine Transformation (DCT) and Chaotic Generators

Authors:
Lee Mariel Heucheun Yepdia
Alain Tiedeu
Zied Lachiri

Keywords: Spectral fusion;chaotic generators;image encryption

Abstract:
This paper proposes a new multiple-image encryption algorithm based on spectral fusion of images and new chaotic generators. Logistic-May (LM), MayGaussian (MG) and Gaussian-Gompertz (GG) were used as chaotic generators for their good properties in order to correct the flaws of 1D chaotic maps (Logistic, May, Gaussian, Gompertz) when used individually. Firstly, the Discrete Cosine Transformation (DCT) and the lowpassed filter of appropriate size are used to combine the target images in the spectral domain in two different multiplex images. Secondly, each of the two images is concatenated into blocks of small size, which are mixed by changing their position following the order generated by a chaotic sequence from Logistic-May system (LM). Finally, the fusion of both scrambled images is achieved by a nonlinear mathematical expression based on Cramer’s rule to obtain two hybrid encrypted images. The security analysis and experimental simulations confirmed that the proposed algorithm has a good encryption performance; it can encrypt a large number of images of different types while maintaining a reduced Mean Square Error (MSE) after decryption.

Pages: 60 to 68

Copyright: Copyright (c) IARIA, 2019

Publication date: October 27, 2019

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-61208-746-7

Location: Nice, France

Dates: from October 27, 2019 to October 31, 2019