Reading image histograms



A histogram is a representation of the number of pixels in a photo at each luminance percentage. A histogram that stretches from the left side of the panel to the right side indicates a photo that takes full advantage of the tonal scale. A histogram that doesn’t use the full tonal range can result in a dull image that lacks contrast. A histogram with spikes at either end indicates a photo with shadow or highlight clipping. Clipping can result in the loss of image detail.

The left side of the histogram represents pixels with 0% luminance; the right side represents 100% luminance.

A histogram is made up of three layers of color that represent the Red, Green, and Blue color channels. Gray appears when all three channels overlap; yellow, magenta, and cyan appear when two of the RGB channels overlap (yellow equals the Red + Green channels, magenta equals the Red + Blue channels, and cyan equals the Green + Blue channels).

In the Develop module, the Histogram panel is a working tool. You can adjust the photo by adjusting the histogram itself.

To preview shadow and highlight clipping, position the mouse over a clipping triangle in the upper-left or upper-right corner of the Histogram. A mask of the clipped areas appears in the photo. Click a triangle to keep the mask on.

Viewing RGB color values

The area under the Histogram in the Develop module displays the RGB color values for individual pixels appearing under the Hand or Zoom tool when you move it over the photo.

You can use this information to determine whether any areas of the photo are clipped, such as whether an R, G, or B value is 0% black or 100% white. If at least one channel in the clipped area has color, then you might be able to use it to recover some detail in the photo.