Metric for Estimating Congruity between Quantum Images

摘要: An enhanced quantum-based image fidelity metric, the QIFM is proposed as a tool to assess “congruity” between two or more quantum images. The often confounding contrariety that distinguishes classical and information processing makes widely accepted peak-signal-to-noise-ratio (PSNR) ill-suited for use in computing framework, whereas prohibitive cost of probability-based similarity score it imprudent an effective quality metric. Unlike aforementioned measures, metric calibrated pixel difference-based measure sensitive intricacies inherent (QIP). As proposed, configured with in-built non-destructive measurement units preserve coherence necessary computation. This design moderates executing order estimate congruity A statistical analysis also shows our has better correlation digital expectation likeness images than other available measures. Therefore, offers competent substitute PSNR framework thereby providing effectively watermarking, movie aggregation applications QIP.