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Quantum Information Processing

Asymmetric scaling of a quantum image based on bilinear interpolation with arbitrary scaling ratio

  • 01-07-2022
Published in:
Authors
Chao Gao
Ri-Gui Zhou
Xin Li
Yao-Chong Li
Published in
Quantum Information Processing | Issue 7/2022

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Abstract

The article delves into the innovative application of quantum computing in image processing, specifically focusing on asymmetric scaling of quantum images using bilinear interpolation. It introduces a new method that allows for arbitrary scaling ratios, significantly reducing the complexity from cubic or exponential functions to a quadratic function. The proposed scheme demonstrates superior performance in both subjective visual quality and objective metrics, such as peak signal-to-noise ratio, compared to traditional nearest-neighbor interpolation methods. The paper also includes a comprehensive analysis of the theoretical basis, quantum modules, and simulation results, making it a valuable resource for researchers and practitioners in the field of quantum image processing.
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previous article Quantum circuits of gates: optimization and entanglement
Title
Asymmetric scaling of a quantum image based on bilinear interpolation with arbitrary scaling ratio
Authors
Chao Gao
Ri-Gui Zhou
Xin Li
Yao-Chong Li
Publication date
01-07-2022
Publisher
Springer US
Published in
Quantum Information Processing / Issue 7/2022
Print ISSN: 1570-0755
Electronic ISSN: 1573-1332
DOI
https://doi.org/10.1007/s11128-022-03612-8
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