@inproceedings{7670db37044c4174b2ccb92ad51746db,
title = "A quantum-based image fidelity metric",
abstract = "A wholly quantum-based metric to assess fidelity between quantum images (QIFM) is proposed. Unlike traditional image quality measures, such as the PSNR metric, the proposed QIFM is formulated as a pixel difference-based measure whose design conforms to the intricacies inherent to quantum image processing (QIP). Results from simulation-based implementation of the QIFM suggest that it is a better technique to quantify fidelity between quantum images. By using m qubits to encode a strip containing multiple cover and test images (each encoded using an additional n qubits) the implementation of the proposed QIFM framework requires 326n basic quantum gates and 26m Toffoli gates to execute. The proposed metric has the potential to offer a better and more effective tool to assess fidelity between images in quantum watermarking, quantum movie aggregation and other applications in QIP.",
keywords = "fidelity metric, PSNR, quantum computation, quantum image processing, quantum movie, quantum watermarking",
author = "Iliyasu, \{Abdullah M.\} and Abuhasel, \{Khaled A.\} and Fei Yan",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Science and Information Conference, SAI 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "2",
doi = "10.1109/SAI.2015.7237213",
language = "English",
series = "Proceedings of the 2015 Science and Information Conference, SAI 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "664--671",
booktitle = "Proceedings of the 2015 Science and Information Conference, SAI 2015",
address = "United States",
}