Quantum image encryption based on iterative framework of frequency-spatial domain transforms

DOI10.1007/s10773-017-3469-5zbMath1387.81196OpenAlexW2738387862WikidataQ121739381 ScholiaQ121739381MaRDI QIDQ682510

Ji-Qiang Liu, Jian Wang, Yan Song, Han Wang, Ya-Cong Geng

Publication date: 5 February 2018

Published in: International Journal of Theoretical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10773-017-3469-5

zbMATH Keywords

iterationquantum image encryptiondouble random-phase encodingFibonacci image scramblinggeometric transform

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Cryptography (94A60) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Quantum coding (general) (81P70) Quantum cryptography (quantum-theoretic aspects) (81P94)

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Cites Work

• A novel color image encryption algorithm based on spatial permutation and quantum chaotic map
• Quantum image matching
• Quantum image encryption based on generalized affine transform and logistic map
• An image encryption scheme using reverse 2-dimensional chaotic map and dependent diffusion
• Quantum image encryption based on restricted geometric and color transformations
• Quantum image encryption algorithm based on quantum image XOR operations
• A flexible representation of quantum images for polynomial preparation, image compression, and processing operations
• An image encryption scheme based on quantum logistic map
• Quantum image encryption algorithm based on image correlation decomposition
• Quantum image encryption based on generalized Arnold transform and double random-phase encoding
• Quantum color image encryption algorithm based on a hyper-chaotic system and quantum Fourier transform
• NEQR: a novel enhanced quantum representation of digital images
• Novel image encryption/decryption based on quantum Fourier transform and double phase encoding
• The quantum realization of Arnold and Fibonacci image scrambling
• Quantum Computation and Quantum Information

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