Single Channel Quantum Color Image Encryption Algorithm Based on HSI Model and Quantum Fourier Transform

Gong, Li-Hua; He, Xiang-Tao; Tan, Ru-Chao; Zhou, Zhihong

doi:10.1007/s10773-017-3541-1

Cited by 25 publications

(7 citation statements)

References 35 publications

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“…Firstly, for references [11,22], their complexity is much higher than that of the proposed algorithm, reaching the exponential level, because they perform transformations for too many times. Secondly, for references [4,23], their complexity depends on the complexity of quantum Fourier transform, so the complexity of those algorithms is at least O n 2 , larger than the proposed algorithm based on wavelet transform. Although Ref.…”

Section: Computational Complexity Analysismentioning

confidence: 99%

Adaptive Quantum Image Encryption Method Based on Wavelet Transform

Wang,

Geng,

Liu

2019

Preprint

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An adaptive quantum image encryption method based on wavelet transform is designed. Since the characteristic of most information is centralized in the low frequency part after performing the wavelet transform, it reserves the image low frequency information only, so as to reduce the encryption workload. Then it encrypts the low frequency information by the random key stream generated by logistic map, the encryption process is realized by implementing XOR operation. In the decryption process, it carries out zero filling operations for high frequency coefficient to recover the decryption images which are equal to the plain images. At the same time, the relevant quantum logical circuit is designed. Statistical simulation and theoretical analysis demonstrate that the proposed quantum image encryption algorithm has higher security and lower computational complexity. So it is adaptive to the scenes that need to encrypt a large number of images during network transmission.

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Section: Computational Complexity Analysismentioning

confidence: 99%

Adaptive Quantum Image Encryption Method Based on Wavelet Transform

Wang,

Geng,

Liu

2019

Preprint

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“…The key space is vast since the secret key contained independent coefficient matrix, repetitive times, and basic binary sequencing. These keys are employed with quantum theory in coupling generalised Arnold transform with encoding-technology of dual phase [28], That will satisfy two stages of encryption in diffusion and confusion. The diffusion of image pixels was over the varying angle of quantum image and is altered throughout phase operation at the same angle.…”

Section: Recent Work In Quantum Image Cryptographymentioning

confidence: 99%

The Review of Quantum Cryptographic Techniques for Image

Mahmood¹,

Tuieb²,

Abdulkadhim³

2022

CJMS

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As in last few years, quantum cryptography appears to overcome the current challenges of time and quality of the encryption systems and offer new fields of cryptography. This paper briefly introduces the quantum cryptography from the basic ideas, theoretic foundation, as well as analyses some innovative papers where used quantum theory in the field of cryptography especially for image encryption. Formerly, current work illustrates the accomplishments of quantum cryptography in image encryption methods and its upcoming progress schemes. Conclusively, its motivation to make a general view that represents a new trend in cryptography scheme can be developed on the benefits of the quantum cryptography.

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“…processed by the conventional FFT. The third advantage is its data storage efficiency in terms, for instance, of the quantum image (see [11][12][13][14] for some applications of the QFT to quantum data sets).…”

Section: Introductionmentioning

confidence: 99%

Quantum circuit for the fast Fourier transform

Asaka

Sakai

Yahagi

2020

Quantum Inf Process

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We propose an implementation of the algorithm for the fast Fourier transform (FFT) as a quantum circuit consisting of a combination of some quantum gates. In our implementation, a data sequence is expressed by a tensor product of vector spaces. Namely, our FFT is defined as a transformation of the tensor product of quantum states. It is essentially different from the so-called quantum Fourier transform (QFT) defined to be a linear transformation of the amplitudes for the superposition of quantum states. The quantum circuit for the FFT consists of several circuits for elementary arithmetic operations such as a quantum adder, subtractor and shift operations, which are implemented as effectively as possible. Namely, our circuit does not generate any garbage bits. The advantages of our method compared to the QFT are its high versatility, and data storage efficiency in terms, for instance, of the quantum image processing.

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Single Channel Quantum Color Image Encryption Algorithm Based on HSI Model and Quantum Fourier Transform

Cited by 25 publications

References 35 publications

Adaptive Quantum Image Encryption Method Based on Wavelet Transform

Adaptive Quantum Image Encryption Method Based on Wavelet Transform

The Review of Quantum Cryptographic Techniques for Image

Quantum circuit for the fast Fourier transform

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