A histogram shows how many image pixels fall at different brightness levels.
It offers a second check when a screen is difficult to judge.
Dark tones appear on the left and bright tones on the right. Separate colour-channel histograms can reveal issues that a combined brightness graph hides.
Compare a night scene with a snow scene. Expect different shapes rather than trying to centre both graphs.
There is no ideal histogram for every scene. A bright or dark subject can legitimately concentrate tones near an edge.
Follow a connection to understand how these ideas fit together.
Metering evaluates the scene for settings; a histogram describes the tones of an image.
This comparison works in both directions.
A concentration at the bright boundary is a prompt to check highlight detail.
Conditions: A boundary reading alone does not decide whether clipping is a problem for this picture.
Tonal distribution helps assess how an image uses its available brightness range.
If the result needs changing, learn how to offset an automatic exposure.
Source check: . This records a check of the supporting references; it is not an expert endorsement.
Dark tones appear on the left and bright tones on the right. Separate colour-channel histograms can reveal issues that a combined brightness graph hides.