A survey of quantum image representations

Yan, Fei; Iliyasu, Abdullah M.; Venegas-Andraca, Salvador E.

doi:10.1007/s11128-015-1195-6

Cited by 229 publications

(94 citation statements)

References 100 publications

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“…1 It is primarily devoted to utilizing quantum computing technologies to capture, manipulate, and recover quantum images in di®erent formats and for di®erent purposes. 2 Due to some of the astounding properties inherent to quantum computation, notably entanglement and parallelism, it is anticipated that QIP technologies will o®er capabilities and performances that are, as yet, unrivaled by their traditional equivalents. These improvements could be in terms of computing speed, guaranteed security, and minimal storage requirements, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Technically, these pioneering e®orts with the subsequent studies related to them can be classi¯ed into three main groups, of which (1) and (2) are deemed outside the purview of this review:…”

Section: Introductionmentioning

confidence: 99%

“…1,2 (2) Optics-based quantum imaging: These applications focus on devising novel techniques for optical imaging and parallel information processing at the quantum level by exploiting the quantum nature of light and the intrinsic parallelism of optical signals. 10 (3) Classically-inspired QIP: These applications derive their inspiration from the expectation that quantum computing hardware will soon be physically realized and, hence, such research focuses on extending classical image processing tasks and applications to quantum computing framework.…”

Section: Introductionmentioning

confidence: 99%

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Quantum image processing: A review of advances in its security technologies

Yan

Iliyasu

Le³

2017

Int. J. Quantum Inform.

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121

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In this review, we present an overview of the advances made in quantum image processing (QIP) comprising of the image representations, the operations realizable on them, and the likely protocols and algorithms for their applications. In particular, we focus on recent progresses on QIP-based security technologies including quantum watermarking, quantum image encryption, and quantum image steganography. This review is aimed at providing readers with a succinct, yet adequate compendium of the progresses made in the QIP sub-area. Hopefully, this e®ort will stimulate further interest aimed at the pursuit of more advanced algorithms and experimental validations for available technologies and extensions to other domains.Keywords: Quantum image; quantum movie; quantum audio; quantum watermarking; quantum image encryption; quantum image steganography.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantum image processing: A review of advances in its security technologies

Yan

Iliyasu

Le³

2017

Int. J. Quantum Inform.

Self Cite

121

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“…Researchers have proposed a number of quantum image representation schemes, such as Qubit Lattice [1], Real Ket [2], Entangled Image [3], FRQI (the flexible representation of quantum images) [4], MCQI (the RGB multi-channel representation for quantum images) [5], NEQR (the novel enhanced quantum representation of digital images) [6], QUALPI (the quantum representation for log-polar images) [7], QSMC&QSNC (quantum states for M colors and quantum states for N coordinates) [8], NAQSS (the normal arbitrary quantum superposition state) [9], INEQR (the improved NEQR) [10], GQIR (the generalized quantum image representation) [11], and etc. A number of papers have summarized and compared them [11][12].…”

Section: Introductionmentioning

confidence: 99%

A Novel Quantum Image Compression Method Based on JPEG

Jiang

et al. 2017

Int J Theor Phys

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Quantum image processing has been a hot topic. The first step of it is to store an image into qubits, which is called quantum image preparation. Different quantum image representations may have different preparation methods. In this paper, we use GQIR (the generalized quantum image representation) to represent an image, and try to decrease the operations used in preparation, which is also known as quantum image compression. Our compression scheme is based on JPEG (named from its inventor: the Joint Photographic Experts Group) -the most widely used method for still image compression in classical computers. We input the quantized JPEG coefficients into qubits and then convert them into pixel values. Theoretical analysis and experimental results show that the compression ratio of our scheme is obviously higher than that of the previous compression method.

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“…Quantum image can be represented for flexible processing by several methods like NEQR, FRQI, NCQI, etc. [15,16].…”

mentioning

confidence: 99%

Quantum color image encryption based on multiple discrete chaotic systems

Li¹,

Abd-El-Atty²,

El‐Latif³

et al. 2017

Proceedings of the 2017 Federated Conference on 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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A survey of quantum image representations

Cited by 229 publications

References 100 publications

Quantum image processing: A review of advances in its security technologies

Quantum image processing: A review of advances in its security technologies

A Novel Quantum Image Compression Method Based on JPEG

Quantum color image encryption based on multiple discrete chaotic systems

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