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Quantum Information Processing

Information hiding method based on quantum image by using Bell states

Cheng-Fu Su, Chien-Yuan Chen

Published Dec 5, 2019• 7 citations
Publisher
DOI
10.1007/s11128-019-2523-z

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We present a scheme for hiding bits in Bell states that is secure even when the sharers, Alice and Bob, are allowed to carry out local quantum operations and classical communication. We prove that the information that Alice and Bob can gain about a hidden bit is exponentially small in n, the number of qubits in each share, and can be made arbitrarily small for hiding multiple bits. We indicate an alternative efficient low-entanglement method for preparing the shared quantum states. We discuss how our scheme can be implemented using present-day quantum optics.
Information hiding based on quantum images mostly adopts the least significant qubit (LSQb) algorithm, which is constrained by the performance indexes of the quality of vision and capacity of imbedding. To meet the requirements of the quality of vision, capacity of imbedding, and the security of the embedded information, this paper proposes a data hiding method for quantum image based on genetic algorithm. Firstly, an enhanced quantum model of digital images is used to represent the image, and a chaotic method is used to encrypt and disrupt the image to be hidden. By designing quantum operations such as selection, crossover and mutation, the secret image is embedded into the relevant qubit plane of the quantum cover image. Finally, the quantum secret image is extracted through the quantum line inverse operation. Simulation results show that the quantum image information hiding method based on genetic algorithm not only enhances the embedding security, but also improves the PSNR by about 9% compared to the LSQb method with the same embedding capacity. The research results have theoretical significance and practical value for research related to quantum image information security and protection.