Erratum to: Quantum Image Encryption Algorithm Based on Quantum Image XOR Operations

Gong, Li-Hua; He, Xiang-Tao; Cheng, Shan; Hua, Tian-Xiang; Zhou, Nanrun

doi:10.1007/s10773-016-3107-7

Cited by 3 publications

(1 citation statement)

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“…[12] discussed the research on an E-mail encryption protocol based on quantum teleportation. [13] featured a quantum image encryption algorithm based on quantum image XOR operations. [14] stated that encryption faces quantum foe.…”

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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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%

An Image Encryption Method Based on Quantum Fourier Transformation

Liu¹,

Zhou²,

Li³

et al. 2018

IJIS

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Image Encryption based on Quantum-Assisted DNA Coded System

Aparna

Bhoomija

Faustina

et al. 2019

2019 International Conference on Computer Communication and Informatics (ICCCI)

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An improved order-encoded quantum image representation model and its application

Ran

2023

Int. J. Quantum Inform.

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Quantum image representation is an important research direction of quantum image processing, which mainly studies the use of quantum properties to encode and store images. At present, most quantum image representation models store image grayscale-related information, but lack histogram-related information. A few quantum representation models that store image histogram information cannot accurately retrieve the image, resulting in the difficulty of quantum image histogram processing. Therefore, this paper proposes an improved order-encoded quantum image representation model ONEQR, which uses the quantum basis state sequence to store the grayscale information, real position information and ascending position information of the image, which can not only solve the problem of inability to accurately retrieve the image, but also store the histogram information of the image, which is convenient for the implementation of the histogram processing algorithm of quantum image; In addition, based on ONEQR, a quantum image representation model MULTI-ONEQR that stores multiple images is proposed, and based on this model, a quantum image histogram specification (HS) algorithm is proposed, which can use quantum properties to complete image HS in parallel. Finally, the simulation experiment of the HS algorithm based on the ONEQR model is carried out to verify the effectiveness of the algorithm.

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Erratum to: Quantum Image Encryption Algorithm Based on Quantum Image XOR Operations

Abstract: The original version of this article unfortunately contained mistakes that were introduced during production processing. The introduced mistakes are listed and corrected below:

Cited by 3 publications

References 0 publications

An Image Encryption Method Based on Quantum Fourier Transformation

An Image Encryption Method Based on Quantum Fourier Transformation

Image Encryption based on Quantum-Assisted DNA Coded System

An improved order-encoded quantum image representation model and its application

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