Quantum image scaling based on bilinear interpolation with arbitrary scaling ratio

DOI10.1007/s11128-019-2377-4zbMath1504.81085OpenAlexW2960232326WikidataQ127465648 ScholiaQ127465648MaRDI QIDQ2110942

Yu Cheng, Ri-Gui Zhou, DaQian Liu

Publication date: 23 December 2022

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11128-019-2377-4

zbMATH Keywords

quantum image processingbilinear interpolationimage scalingquantum representation

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Quantum cryptography (quantum-theoretic aspects) (81P94)

Related Items (5)

Asymmetric scaling scheme over the two dimensions of a quantum image ⋮ A novel quantum image steganography algorithm based on double-layer gray code ⋮ Quantum image scaling based on bilinear interpolation with decimals scaling ratio ⋮ Asymmetric scaling of a quantum image based on bilinear interpolation with arbitrary scaling ratio ⋮ Design and implementation of MQIR image scaling

Uses Software

• Matlab

Cites Work

• Quantum realization of the nearest-neighbor interpolation method for FRQI and NEQR
• Quantum image scaling using nearest neighbor interpolation
• Quantum image translation
• A flexible representation of quantum images for polynomial preparation, image compression, and processing operations
• Quantum image scaling up based on nearest-neighbor interpolation with integer scaling ratio
• Quantum circuit realization of the bilinear interpolation method for GQIR
• NEQR: a novel enhanced quantum representation of digital images
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