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

Yan, Fei; Iliyasu, Abdullah M.; Le, Phuc Q.

doi:10.1142/s0219749917300017

Cited by 122 publications

(27 citation statements)

References 56 publications

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“…Overall, as mentioned earlier, the objective of QIP is to utilize quantum computing technologies to capture, manipulate, and recover quantum images in different formats and for different purposes. Whereas detailed reviews and surveys on QIP representations, security protocols as well as their applications can be found in [6], [18], [34], and [37], in the sequel the formulation of a few quantum image representations is reviewed with focus on emphasizing their differences and suitability for varied applications. In particular, attention will be given to the FRQI and NEQR quantum image models because most of the quantum movie formats discussed in later sections of the disquisition are built around them.…”

Section: A Quantum Image Processingmentioning

confidence: 99%

“…The FRQI model offers a mechanism to encode an image as a normalized state that captures chromatic and spatial details about the image's composition. More than any other QIP image model, the FRQI has played an important role in the development of several strategies to execute quantum image processing tasks [6], [18], [34] and overall growth of the QIP sub-discipline.…”

Section: B Quantum Image Representationsmentioning

confidence: 99%

“…Unlike encryption, steganography is often viewed as a process of achieving security by obscurity [34]. This often entails relying on the secrecy of the design or implementation as part of or the main method for providing security.…”

Section: B High Payload Steganography Protocol For Color Quantum Moviesmentioning

confidence: 99%

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Roadmap to Talking Quantum Movies: a Contingent Inquiry

Iliyasu

2019

IEEE Access

Self Cite

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Quantum computation and quantum information science have transmuted from classroom conjectures and demonstrations usually confined to the laboratory into exciting sub-disciplines with potential for profound impacts in information and communication security, device miniaturization, cosmology, Internet, and so on. Recent developments in both areas have further changed the landscape of future computing and information processing technologies. Encouraged by this, both fields have witnessed interests from professional bodies, notably, the Institute of Electrical and Electronics Engineers (IEEE) via the IEEE P7130 working group on standards for quantum computation as well as similar interests from big technology companies (Google, Microsoft, IBM, etc.) as well as those from national and regional (China, European Union, United Kingdom, Australia, Japan, and so on) governments. With all these activities, presently, interest in and funding for quantum computation and quantum information science are at their highest points ever, thus heralding the inevitable feat of physical realization of quantum computing hardware. Considering the ubiquity and indispensability of imaging and video technologies in our lives today, it is paramount that the utility of any future computing paradigm be measured in terms of its ability to advance and guarantee perpetuity in terms of the efficacy of such technologies. Quantum image processing (QIP), a sub-discipline mainly focused on using quantum computing hardware for the attainment of the aforementioned objectives, has emerged as one of the most promising fields in the quantum computing and quantum information science domains. Its extension to realize quantum movies (or videos), which is the main subject of this disquisition, is an even newer prospect. Consequently, the main objectives of this review are twofold. First, targeting enthusiasts and beginners in the quantum computing field, the treatise provides both an essential background on the rudiments of QIP as well as an exhaustive overview of all literature related to quantum movies and/or videos. Second, for the benefit of those already pursuing research in the QIP sub-discipline, the commentary provides useful insights, allegories, and conjectures to support the integration of other media, such as quantum audio and so on, for the realization of colored talking quantum movies (or video). On the whole, the review is intended to serve as an avenue to invigorate activities tailored toward accelerating the realization of QIP-based quantum technologies.

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Section: A Quantum Image Processingmentioning

confidence: 99%

Section: B Quantum Image Representationsmentioning

confidence: 99%

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Roadmap to Talking Quantum Movies: a Contingent Inquiry

Iliyasu

2019

IEEE Access

Self Cite

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“…Further to the potential applications of quantum imaging schemes, it has been demonstrated that imaging schemes at conventional wavelengths can be improved by using quantum sources, either by enhancing the resolution or decreasing the noise of images [141,52]. Future developments in quantum imaging could come through new approaches such as quantum image processing [191] or through exploiting quantum correlations via different methods such as correlation plenoptic imaging [192]. Moreover, early demonstrations of principle of quantum imaging techniques are now more and more transforming into real world practical implementations from which new imaging technologies may emerge.…”

Section: Discussionmentioning

confidence: 99%

Imaging with quantum states of light

et al. 2019

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The production of pairs of entangled photons simply by focusing a laser beam onto a crystal with a non-linear optical response was used to test quantum mechanics and to open new approaches in imaging. The development of the latter was enabled by the emergence of single photon sensitive cameras able to characterize spatial correlations and high-dimensional entanglement. Thereby new techniques emerged such as the ghost imaging of objectswhere the quantum correlations between photons reveal the image from photons that have never interacted with the object -or the imaging with undetected photons by using nonlinear interferometers. Additionally, quantum approaches in imaging can also lead to an improvement in the performance of conventional imaging systems. These improvements can be obtained by means of image contrast, resolution enhancement that exceed the classical limit and acquisition of sub-shot noise phase or amplitude images. In this review we discuss the application of quantum states of light for advanced imaging techniques.

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“…Quantum computation has shown great potential for improving information processing speed and enhancing communication security [ 1 , 2 , 3 ]. The quantum image encryption technology exploits quantum mechanics principles, such as parallel and entanglement, to further protect the security of information transmission and decrease computational resource [ 4 , 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Double Quantum Image Encryption Based on Arnold Transform and Qubit Random Rotation

Liu

Xiao

Liu³

2018

Entropy

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Quantum image encryption offers major advantages over its classical counterpart in terms of key space, computational complexity, and so on. A novel double quantum image encryption approach based on quantum Arnold transform (QAT) and qubit random rotation is proposed in this paper, in which QAT is used to scramble pixel positions and the gray information is changed by utilizing random qubit rotation. Actually, the independent random qubit rotation operates once, respectively, in spatial and frequency domains with the help of quantum Fourier transform (QFT). The encryption process accomplishes pixel confusion and diffusion, and finally the noise-like cipher image is obtained. Numerical simulation and theoretical analysis verify that the method is valid and it shows superior performance in security and computational complexity.

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

Cited by 122 publications

References 56 publications

Roadmap to Talking Quantum Movies: a Contingent Inquiry

Roadmap to Talking Quantum Movies: a Contingent Inquiry

Imaging with quantum states of light

Double Quantum Image Encryption Based on Arnold Transform and Qubit Random Rotation

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