Quantum Multi-Image Encryption Based on Iteration Arnold Transform with Parameters and Image Correlation Decomposition
| Autor: | Xingbin Liu, Nanrun Zhou, Yiqun Hu, Xinwen Xie |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Discrete wavelet transform
Theoretical computer science Physics and Astronomy (miscellaneous) Computational complexity theory business.industry General Mathematics Key space ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Top-hat transform 02 engineering and technology Encryption 01 natural sciences Computer Science::Computer Vision and Pattern Recognition 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Orthonormal basis Quantum algorithm 010306 general physics business Algorithm Computer Science::Cryptography and Security Quantum computer Mathematics |
| Zdroj: | International Journal of Theoretical Physics. 56:2192-2205 |
| ISSN: | 1572-9575 0020-7748 |
| DOI: | 10.1007/s10773-017-3365-z |
| Popis: | A novel quantum multi-image encryption algorithm based on iteration Arnold transform with parameters and image correlation decomposition is proposed, and a quantum realization of the iteration Arnold transform with parameters is designed. The corresponding low frequency images are obtained by performing 2-D discrete wavelet transform on each image respectively, and then the corresponding low frequency images are spliced randomly to one image. The new image is scrambled by the iteration Arnold transform with parameters, and the gray-level information of the scrambled image is encoded by quantum image correlation decomposition. For the encryption algorithm, the keys are iterative times, added parameters, classical binary and orthonormal basis states. The key space, the security and the computational complexity are analyzed, and all of the analyses show that the proposed encryption algorithm could encrypt multiple images simultaneously with lower computational complexity compared with its classical counterparts. |
| Databáze: | OpenAIRE |
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