Which processing step is used to adjust brightness and contrast after histogram analysis?

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Multiple Choice

Which processing step is used to adjust brightness and contrast after histogram analysis?

Explanation:
The main idea is that brightness and contrast are controlled by remapping the image’s gray values after analyzing how those values are distributed. Once the histogram shows where most pixel values lie, the image is adjusted by applying a look-up table (LUT) that maps each input gray level to a new display value. Changing this mapping changes how bright or dark the image appears and how contrasts between different tissues are displayed. Window level and width are practical ways to set that mapping, effectively shaping the LUT to emphasize certain ranges of gray values. Rescaling refers to a different way of stretching values and isn’t the primary post-histogram adjustment for brightness/contrast. Digitization is the conversion from analog to digital data, not the brightness/contrast adjustment step. So the step used to adjust brightness and contrast after histogram analysis is LUT adjustments.

The main idea is that brightness and contrast are controlled by remapping the image’s gray values after analyzing how those values are distributed. Once the histogram shows where most pixel values lie, the image is adjusted by applying a look-up table (LUT) that maps each input gray level to a new display value. Changing this mapping changes how bright or dark the image appears and how contrasts between different tissues are displayed. Window level and width are practical ways to set that mapping, effectively shaping the LUT to emphasize certain ranges of gray values. Rescaling refers to a different way of stretching values and isn’t the primary post-histogram adjustment for brightness/contrast. Digitization is the conversion from analog to digital data, not the brightness/contrast adjustment step. So the step used to adjust brightness and contrast after histogram analysis is LUT adjustments.

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