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Entropy 2016, 18(10), 360;

Metric for Estimating Congruity between Quantum Images

Electrical Engineering Department, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China
School of Automation, Beijing Institute of Technology, Haidian District, Beijing 100081, China
This paper is an extended version of our paper published in the IEEE Science and Information Conference, London, UK, 28–30 July 2015.
Author to whom correspondence should be addressed.
Academic Editor: Jay Lawrence
Received: 20 July 2016 / Revised: 29 September 2016 / Accepted: 29 September 2016 / Published: 9 October 2016
(This article belongs to the Collection Quantum Information)
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An enhanced quantum-based image fidelity metric, the QIFM metric, is proposed as a tool to assess the “congruity” between two or more quantum images. The often confounding contrariety that distinguishes between classical and quantum information processing makes the widely accepted peak-signal-to-noise-ratio (PSNR) ill-suited for use in the quantum computing framework, whereas the prohibitive cost of the probability-based similarity score makes it imprudent for use as an effective image quality metric. Unlike the aforementioned image quality measures, the proposed QIFM metric is calibrated as a pixel difference-based image quality measure that is sensitive to the intricacies inherent to quantum image processing (QIP). As proposed, the QIFM is configured with in-built non-destructive measurement units that preserve the coherence necessary for quantum computation. This design moderates the cost of executing the QIFM in order to estimate congruity between two or more quantum images. A statistical analysis also shows that our proposed QIFM metric has a better correlation with digital expectation of likeness between images than other available quantum image quality measures. Therefore, the QIFM offers a competent substitute for the PSNR as an image quality measure in the quantum computing framework thereby providing a tool to effectively assess fidelity between images in quantum watermarking, quantum movie aggregation and other applications in QIP. View Full-Text
Keywords: quantum computation; quantum image processing; fidelity metric; PSNR; congruity, quantum watermarking; quantum movie quantum computation; quantum image processing; fidelity metric; PSNR; congruity, quantum watermarking; quantum movie

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Iliyasu, A.M.; Yan, F.; Hirota, K. Metric for Estimating Congruity between Quantum Images. Entropy 2016, 18, 360.

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