Quantum Color Image Encryption Algorithm Based on A Hyper-Chaotic System and Quantum Fourier Transform

Tan, Ru-Chao; Lei, Tong; Zhao, Qingmin; Gong, Li-Hua; Zhou, Zhihong

doi:10.1007/s10773-016-3157-x

Cited by 48 publications

(18 citation statements)

References 42 publications

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“…For example, [10] painted a quantum image encryption based on iterative framework of Frequency-Spatial Domain transforms. [11] displayed a quantum color image encryption algorithm based on a hyper-chaotic system and quantum Fourier transform. [12] discussed the research on an E-mail encryption protocol based on quantum teleportation.…”

Section: Related Workmentioning

confidence: 99%

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An Image Encryption Method Based on Quantum Fourier Transformation

Liu¹,

Zhou²,

Li³

et al. 2018

IJIS

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The image security problem is an important area in information security, and image encryption plays a vital role in this day. To protect the image encryption from the attack of quantum algorithm appeared recently, an image encryption method based on quantum Fourier transformation is proposed here. First, the image encryption and Fourier transformation are discussed here, then a encryption function is proposed. Second, a quantum Fourier transformation is introduced to quantum encryption, and the full step of quantum encryption is given as well. Third, the security of the proposed quantum encryption if analyzed, and some propositions are also presented. Lastly, some conclusions are indicated and some possible directions are also listed.

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Section: Related Workmentioning

confidence: 99%

“…In quantum image encryption, the efficiency of transformation plays an important role, especially the Fourier transformation [11]. [16] discussed the change from fractional Fourier transformation to quantum mechanical fractional squeezing transformation.…”

Section: Related Workmentioning

confidence: 99%

An Image Encryption Method Based on Quantum Fourier Transformation

Liu¹,

Zhou²,

Li³

et al. 2018

IJIS

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“…For the different restoration authors, the restoration results are not the only ones. Li and others put forward a joint restoration method based on the theory of edge region segmentation, it is to combine texture synthesis with structural information propagation, which can avoid blurring of edges and improve the speed of texture synthesis [1,4,19,22,23,25,26,32].…”

mentioning

confidence: 99%

Research on iterative repair algorithm of Hyperchaotic image based on support vector machine

Li¹,

Cui²,

Sun³

et al. 2019

Discrete &Amp; Continuous Dynamical Systems - S

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The damaged area of the hyperchaotic image is prone to lack of texture information. It needs to make image restoration design to improve the information expression ability of the image. In this paper, an iterative restoration algorithm of hyperchaotic image based on support vector machine is proposed. The sample blocks in the damaged region of hyperchaotic images are divided into smooth mesh structures according to block segmentation method, and the neighborhood pixels of which points need to repair are ranked efficiently according to gradient values. According to the edge fuzzification features, the position of the important structural information of the damaged area is located. A multi-dimensional spectral peak search method is applied to construct the information feature subspace of image texture, so as to find the best matching block for restoring the damaged region of hyperchaotic image. Considering the features of structural information and texture information, the maximum likelihood algorithm is used to reconstruct the pixel elements in the image region by piecewise fitting. Through the support vector machine algorithm, the image iterative restoration is carried out. The simulation results show that the restoration method for hyperchaotic image can achieve effective restoration of image damaged area, the quality of restorationed image is better, and the computation speed is fast. The image restoration method can effectively ensure the visual effect of the reconstructed image. 2010 Mathematics Subject Classification. 46N30.

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“…The feature of quantum parallelism is utilized in quantum image processing to speed up various processing tasks such as quantum image encryption [3][4][5][6][7][8][9][10][11], quantum image steganography [12,13], quantum image watermarking [14] and so on. Quantum image encryption is widely used to assure security in the information hidden into those images [3].…”

mentioning

confidence: 99%

“…However all quantum image encryption algorithms mentioned above used to encrypt only quantum gray-level images not quantum color images. In 2016, based on Chen's hyper-chaotic system, a quantum color image encryption algorithm is proposed in Tan et al's work [11]. To the best of our knowledge, in the earlier works, there is no quantum image encryption algorithm based on multiple discrete chaotic systems (e.g.…”

mentioning

confidence: 99%

Quantum color image encryption based on multiple discrete chaotic systems

Li¹,

Abd-El-Atty²,

El‐Latif³

et al. 2017

Annals of Computer Science and Information Systems

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Abstract-In this paper, a novel quantum encryption algorithm for color image is proposed based on multiple discrete chaotic systems. The proposed quantum image encryption algorithm utilize the quantum controlled-NOT image generated by chaotic logistic map, asymmetric tent map and logistic Chebyshev map to control the XOR operation in the encryption process. Experiment results and analysis show that the proposed algorithm has high efficiency and security against differential and statistical attacks.

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Quantum Color Image Encryption Algorithm Based on A Hyper-Chaotic System and Quantum Fourier Transform

Cited by 48 publications

References 42 publications

An Image Encryption Method Based on Quantum Fourier Transformation

An Image Encryption Method Based on Quantum Fourier Transformation

Research on iterative repair algorithm of Hyperchaotic image based on support vector machine

Quantum color image encryption based on multiple discrete chaotic systems

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