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In order to take into account the effects of postprocessing techniques in both resolution and noise, a figure of image quality (FIQ) was introduced, incorporating both factors.
Resolution and noise were calculated via the Modulation Transfer Function (MTF), the coefficient of variation, and the figure of image quality.
In the present study, the influence of postprocessing techniques on resolution and noise in digital mammography was investigated via the introduction of a figure of image quality.
Although figure of image quality and information capacity indexes were tested on a generic software package, their utilization for image quality characterization, in dedicated medical image software, will be useful provided there is image processing capability [ 59– 63].
Although figure of image quality and information capacity indexes were tested on a generic software package, their utilization in characterizing image quality in dedicated medical image software will be useful.
The method comprises spatial resolution and noise measurements in postprocessed digital images as well as the introduction of a simple figure of image quality (FIQ) combining resolution and noise in a single index.
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Additional figures of SEM images, SERS maps, and FDTD calculations.
DLMJ contributed to the collection of data, generation of figures, and collection of images.
RLF contributed to the collection of data, generation of figures, and collection of images.
Here, we have examples of figures combining images and a plots in multiple panels.
Figure 3 Map of blotches of images in Figure 1.
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