■How to Use the Histogram
A histogram is a graph that represents the lightness of an image in terms of the number of pixels. The vertical axis indicates the number of pixels, while the horizontal axis indicates lightness.
You can use the histogram to determine whether an image includes the shadowing (left side), mid tones (center), and highlighting (right) to bring out sufficient image detail. If the histogram appears too lopsided for some reason, you can use EV shift to move it left or right in order to achieve better balance. Optimum exposure can be achieved by EV shifting so the graph is as close to the center as possible. The histogram also includes RGB histogram lines that show the distribution of R (red), G (green), and B (blue) components. These lines can be used to determine whether there is too much or too little of each of the color components in an image.
Example Histograms
When the histogram is to the left, it means that there are too many dark pixels. This type of histogram results when the overall image is dark. A histogram that is too far to the left may result in “black out” of the dark areas of an image, as shown in the nearby image.
When the histogram is to the right, it means that there are too many light pixels. This type of histogram results when the overall image is light. A histogram that is too far to the right may result in “white out” of the light areas of an image, as shown in the nearby image.
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