Quantum realization of the bilinear interpolation method for NEQR

Abstract In recent years, quantum image processing is one of the most active fields in quantum computation and quantum information. Image scaling as a kind of image geometric transformation has been widely studied and applied in the classical image processing, however, the quantum version of which d...

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Autores principales: Ri-Gui Zhou, Wenwen Hu, Ping Fan, Hou Ian
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/025337d83ab047afbcf2722aa277dab0
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spelling oai:doaj.org-article:025337d83ab047afbcf2722aa277dab02021-12-02T11:52:20ZQuantum realization of the bilinear interpolation method for NEQR10.1038/s41598-017-02575-62045-2322https://doaj.org/article/025337d83ab047afbcf2722aa277dab02017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-02575-6https://doaj.org/toc/2045-2322Abstract In recent years, quantum image processing is one of the most active fields in quantum computation and quantum information. Image scaling as a kind of image geometric transformation has been widely studied and applied in the classical image processing, however, the quantum version of which does not exist. This paper is concerned with the feasibility of the classical bilinear interpolation based on novel enhanced quantum image representation (NEQR). Firstly, the feasibility of the bilinear interpolation for NEQR is proven. Then the concrete quantum circuits of the bilinear interpolation including scaling up and scaling down for NEQR are given by using the multiply Control-Not operation, special adding one operation, the reverse parallel adder, parallel subtractor, multiplier and division operations. Finally, the complexity analysis of the quantum network circuit based on the basic quantum gates is deduced. Simulation result shows that the scaled-up image using bilinear interpolation is clearer and less distorted than nearest interpolation.Ri-Gui ZhouWenwen HuPing FanHou IanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-17 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Ri-Gui Zhou
Wenwen Hu
Ping Fan
Hou Ian
Quantum realization of the bilinear interpolation method for NEQR
description Abstract In recent years, quantum image processing is one of the most active fields in quantum computation and quantum information. Image scaling as a kind of image geometric transformation has been widely studied and applied in the classical image processing, however, the quantum version of which does not exist. This paper is concerned with the feasibility of the classical bilinear interpolation based on novel enhanced quantum image representation (NEQR). Firstly, the feasibility of the bilinear interpolation for NEQR is proven. Then the concrete quantum circuits of the bilinear interpolation including scaling up and scaling down for NEQR are given by using the multiply Control-Not operation, special adding one operation, the reverse parallel adder, parallel subtractor, multiplier and division operations. Finally, the complexity analysis of the quantum network circuit based on the basic quantum gates is deduced. Simulation result shows that the scaled-up image using bilinear interpolation is clearer and less distorted than nearest interpolation.
format article
author Ri-Gui Zhou
Wenwen Hu
Ping Fan
Hou Ian
author_facet Ri-Gui Zhou
Wenwen Hu
Ping Fan
Hou Ian
author_sort Ri-Gui Zhou
title Quantum realization of the bilinear interpolation method for NEQR
title_short Quantum realization of the bilinear interpolation method for NEQR
title_full Quantum realization of the bilinear interpolation method for NEQR
title_fullStr Quantum realization of the bilinear interpolation method for NEQR
title_full_unstemmed Quantum realization of the bilinear interpolation method for NEQR
title_sort quantum realization of the bilinear interpolation method for neqr
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/025337d83ab047afbcf2722aa277dab0
work_keys_str_mv AT riguizhou quantumrealizationofthebilinearinterpolationmethodforneqr
AT wenwenhu quantumrealizationofthebilinearinterpolationmethodforneqr
AT pingfan quantumrealizationofthebilinearinterpolationmethodforneqr
AT houian quantumrealizationofthebilinearinterpolationmethodforneqr
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