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We show, using 11 large organ-specific datasets, that IQRray, a new quality metrics developed by us, exhibits the highest correlation with this reference metric, among 14 metrics tested.
Results highlight that the metric correlates well with subjective observations, also in comparison with commonly used full-reference metrics and with a state-of-the-art reduced reference metric.
Table 8 Quality metrics developed for evaluating the quality of dehazed images Reference Metric [23, 42, 50, 51] The ratio of visible edges between input and output images (Q e), the ratio of visible edges' gradients between input and output images (Q g) [38, 50, 51] Q e, Q g, percentage of pixels which becomes completely black or completely white after dehazing (Q o).
The differential structure on these manifolds is fixed by specifying a smooth reference metric tensor.
The SSIM index is a full reference metric for measuring image quality using an initial noise-free-image as reference.
We observe that our metric outperforms the full reference metric PSNR and the RR metric in [4] in all cases.
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Unlike existing objective metrics, the proposed no-reference metric is able to predict the relative amount of noise perceived in images with different content, without a reference.
In order to implement a no-reference metric, lacunarity 1.5 can indicate the severe degradation.
Then, we create a training database and we execute on it the selected full-reference metric.
From the analysis of the experimental data (detailed in Data analysis section), we propose our novel no-reference metric, described in No-reference metric for Demosaicing section, based on measures of blurriness, chromatic and achromatic distortions.
Specifically, the proposed method is to first find a full-reference metric that performs well for the types of distortions we are interested in, and then we use this metric to develop a no-reference metric.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com