Histograms


A histogram lets you view the tonal range of an image so that you can evaluate and adjust the color and tone. For example, a histogram can help you detect hidden details in a photo that is too dark because of underexposure (a photo taken with insufficient light).

A histogram has a horizontal bar chart that plots the brightness values of the pixels in your image on a scale of 0 (dark) to 255 (light). The left part of the histogram represents the shadows of an image, the middle part represents the midtones, and the right part represents the highlights. The height of the spikes shows how many pixels are at each brightness level. For example, a large number of pixels in the shadows (the left side of the histogram) indicates the presence of image detail in the dark areas of the image.

A histogram is available in the Adjustments inspector, as well as with the following filters:

Levels (formerly known as Contrast Enhancement)
Equalize (formerly known as Histogram Equalization)
Sample & Target (formerly known as Sample/Target Balance)
Tone Curve

 

Each photo above has a different exposure: average (top), overexposed (middle), underexposed (bottom). The histograms for each photo (on the right) show how the pixels are distributed, from dark to light. In a photo with average exposure, pixels are more evenly distributed across the tonal range.

To use the histogram in the Adjustments inspector

Back to Top
1 Click Window Inspectors Adjustments.
2 In the Histogram area, choose the color channel you want to display from the list box.
By default, the histogram shows all color channels of the image.
3 Choose an adjustment and the settings that you want to apply.
Each time you apply an adjustment, the histogram is updated, helping you evaluate the results.

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