QIRHSI: novel quantum image representation based on HSI color space model Academic Article in Scopus uri icon

abstract

  • © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.We present QIRHSI, a novel quantum image representation method based on the HSI color space model. QIRHSI integrates the advantages of the Flexible Representation of Quantum Images (FRQI) model and the Novel Enhanced Quantum Representation (NEQR) model. On the one hand, the proposed QIRHSI model is better suited for the image processing related to intensity information via binary qubit sequence than multi-channel representation for quantum image (MCQI) (multi-channel FRQI). On the other hand, the QIRHSI model requires less storage space (10 qubits) in the hue and saturation channels, compared with the novel quantum representation of color digital images (NCQI) (tri-channel NEQR) model in RGB (24 qubits). Secondly, the polynomial preparation for constructing the QIRHSI state, the quantum image processing operations, an application of quantum image encryption and the optimized image preparation resources are explored, respectively. The ratio of optimization by preparing QIRHSI ranges from 55.87 to 95.72% on different 8 × 8 sample images. Finally, the effectiveness, feasibility and complexity of the proposed quantum image representation and their associated operations are proved through theoretical analysis.

publication date

  • January 1, 2022