Novel quantum image compression and encryption algorithm based on DQWT and 3D hyper-chaotic Henon map

被引：63
|
作者：
Zhou, Nan-Run [1 ]
Huang, Lang-Xin [1 ]
Gong, Li-Hua [1 ,2 ]
Zeng, Qing-Wei [3 ]
机构：
[1] Nanchang Univ, Dept Elect Informat Engn, Nanchang 330031, Jiangxi, Peoples R China
[2] Univ Pittsburgh, Dept Elect & Comp Engn, Pittsburgh, PA 15261 USA
[3] Nanchang Univ, Dept Comp Sci & Engn, Nanchang 330031, Jiangxi, Peoples R China
来源：
QUANTUM INFORMATION PROCESSING | 2020年 / 19卷 / 09期
基金：
中国国家自然科学基金;
关键词：
3D hyper-chaotic Henon map; Iterative generalized Arnold transform; Quantum image compression and encryption; Quantum cryptography; DISCRETE WAVELET TRANSFORM; SCHEME; SYSTEM; REPRESENTATION; CIRCUIT;
D O I：
10.1007/s11128-020-02794-3
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
A novel quantum image compression and encryption algorithm with Daubechies D(4) quantum wavelet transform (DQWT) and 3D hyper-chaotic Henon map is presented. The quantum image is firstly scrambled by the iterative generalized Arnold transforms to eliminate its block effect. Then, the produced quantum image is compressed with DQWT and measurement matrix, which could be implemented with Hadamard gate. Subsequently, a quantum key image is constructed by a hyper-chaotic Henon sequence generated by 3D hyper-chaotic Henon map under the control of three initial values and two parameters. The quantum key image is XORed with the produced quantum compression image. The key space is relatively large enough since there are three initial values and two parameters involved. Numerical simulations demonstrate that the proposed quantum image compression and encryption algorithm is feasible, secure and efficient.
引用
收藏
页数：21
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