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Color image encryption approach based on memetic differential evolution

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Abstract

In this paper, the initial conditions of an intertwining logistic map are generated by utilizing the memetic differential evolution. Initially, the color image is decomposed into red, green, and blue channels. Arnold map is used to shuffle the pixels position of all three channels to develop the shuffled channels. Afterward, memetic differential evolution is implemented to optimize the parameters required by intertwining logistic map. The correlation coefficient and entropy are used as a fitness function. The intertwining map generates the secret keys to encrypt the shuffled color channels. The encrypted color channels are combined to obtain the encrypted image. Extensive experiments are carried out by considering the memetic differential evolution-based image encryption and existing competitive image encryption approaches over five benchmark images. Experimental results show that the proposed approach provides higher efficiency and security as compared to the existing image encryption approaches.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India

    Manjit Kaur & Vijay Kumar

  2. School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, China

    Li Li

Authors
  1. Manjit Kaur
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  2. Vijay Kumar
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  3. Li Li
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Correspondence to Manjit Kaur.

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Cite this article

Kaur, M., Kumar, V. & Li, L. Color image encryption approach based on memetic differential evolution. Neural Comput & Applic 31, 7975–7987 (2019). https://doi.org/10.1007/s00521-018-3642-7

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  • DOI: https://doi.org/10.1007/s00521-018-3642-7

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