Measures based on SNR, on the other hand, are direct measures of image quality.
Various researchers have reported different measures of image quality but with an existence of a reference image.
Image quality score, contrast-to-noise ratio, sharpness index, coefficient of variation (CV), and measured defect size were assessed as measures of image quality.
Measures of image texture were effective in modeling spatial patterns of avian species richness in multiple habitat types, explaining up to 51% of the variability in species richness of permanent resident birds.
For each reconstruction, the following objective measures of image quality were calculated using methods described by Fukukita et al. [9]: SNR was measured in the liver (SNRliver) and aortic arch (SNRAA) using Hermes HybridViewer software (Hermes Medical Solutions, Stockholm, Sweden).
According to Bates et al. [29], it is more accurate to use objective measures of image complexity that are based on digitised file size.
On the contrary, we found no significant difference in our two measures of "image quality"—SNR and vessel edge sharpness.
ImageJ output for the measures of image sets were exported to a spreadsheet where values for seed images with poor outlines were removed based on visual observation.
The other tasks assess maintenance processes within visual short-term memory, and therefore should be considered indirect measures of image maintenance.
Quantitative measures of image heterogeneity (degree of irregularity and clumpiness within the tumour and fractal dimension of the border between tumour and neighbouring tissues) have characterized either expansive or infiltrative growth patterns of various tumours.
