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      Quantum color image encryption based on a novel 3D chaotic system

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      Journal of Applied Physics
      AIP Publishing

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          Abstract

          In order to improve the security of quantum color images, this study proposes a novel algorithm for quantum color image encryption based on three-dimensional chaotic systems. The encrypted quantum color image is represented by the novel quantum image representation for color digital image model. The original image is first perturbed by the Arnold transform and then the RGB channel is perturbed separately from the chaotic sequence generated by the new three-dimensional chaotic system by the xor operation. Evaluation metrics such as histogram, information entropy, and correlation of neighboring pixels of the image are analyzed using MATLAB. The simulation results show that the pixel values of the encrypted image are uniformly distributed and the algorithm enhances the security of quantum color images. The specific quantum circuit diagram of the encryption algorithm is given in the paper. The superposition and entanglement properties of quantum physics greatly improve the efficiency of complex image processing algorithms, and the overall complexity of the circuit is O(n), which is efficient and implementable.

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          A flexible representation of quantum images for polynomial preparation, image compression, and processing operations

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            Storing, processing, and retrieving an image using quantum mechanics

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              An image encryption scheme based on quantum logistic map

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                Author and article information

                Contributors
                Journal
                Journal of Applied Physics
                AIP Publishing
                0021-8979
                1089-7550
                March 21 2022
                March 21 2022
                March 21 2022
                March 17 2022
                March 21 2022
                : 131
                : 11
                Article
                10.1063/5.0084611
                00d8dfc9-9cfc-4eb2-b96d-e9e9f2f5f745
                © 2022
                History

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