The Magic Of Histograms

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  • Learn to read your camera's histograms and get the best exposures possible for your subject

    The Magic Of Histograms

    Modern digital cameras do an impressive job in getting an acceptable exposure for most images. There’s a difference between an acceptable exposure and an exceptional exposure, however. The best exposures make maximum use of the capabilities of the camera sensor and internal camera processing while causing only a few problems when printing or working on images in the computer.     

    While it’s true that image-processing programs do allow some “fixing” of a photo in the computer, you’re wise to get the best possible image captured to the memory card in the first place. This results in an image with clearer details, better tonal definition in highlights and shadows, improved color and fewer noise issues.


    There’s a serious misconception that with RAW capture, shooting the image right from the start is no longer important. Not true! The image sensor is only capable of handling a certain range of brightness. Outside of that range, you have problems. RAW files can help with challenging exposures, but even that format works best when the exposures also are at their best.

    One way to ensure that your exposures are accurate is to use the histogram display, if your camera has one. More and more cameras are including this valuable technology, including so-called point-and-shoots priced at less than $500. You don’t need to use it for every image, but if you check it when the light is tricky and for critical photos, the histogram can give you important information about an image’s exposure.


    The histogram sometimes looks a little intimidating. It was never part of film photography, and it certainly doesn’t look very creative. It’s a graph based on mathematics, but to use it, you don’t have to know anything about math. This article will give you an overview of what to look for in your histogram and offer some specific photographic examples showing both an image and its histogram.

    Histogram Basics
    While the histogram looks rather technical at first, the basics of reading it are fairly simple. Camera manufacturers haven’t always made finding the feature in the menus that easy, so check your camera’s manual to see how to turn it on, if your model includes it.

    With digital SLRs and many digital cameras, you have to look at the histogram after you take the shot. With some digital cameras, you can turn on the histogram for live viewing as you prepare to take the picture, which can be helpful in adjusting exposure on the fly.

    The histogram is a chart that looks like a hill, mountain range or multiple hills, but the key elements are the slopes at the left and right. Some histograms are solid graphs, while some just show a line where the tops of the points are—both are identical in use, only different displays.

    To read exposure, begin by looking at the left and right parts of the chart. The left shows the darkest parts of the scene and the right displays the highlights. The entire width of the graph represents the total range of tones that your sensor can capture. Anything beyond the left edge is pure black, outside of the range of the sensor, so nothing is recorded in those shadows. Anything beyond the right edge is pure white, and again, outside of the range of the sensor.

    A satisfactory exposure will have a full range of tones from left to right appropriate to the scene. There’s no “right” shape to the histogram, since that will change depending on the types of tonalities in your scene. The key, though, is to be sure no exposure information is clipped at the right or left (the graph is abruptly cut off), which represents the exposure level where detail is gone. A cutoff or clipped histogram means details aren’t being captured at all.


    That’s not necessarily wrong, however. Some scenes simply have too great a contrast range for your sensor, which will result in clipping at either the left or right (or both) because it’s impossible for your camera to do anything else. You may have to decide what’s most important for your scene—highlights or shadows—and be sure the histogram isn’t clipped at either end. Bright specular highlights from reflections of glaring lights probably should be pure white, for example. Or the darkness of a deep shadow might look just fine as black.

    Underexposure will show up with little or no data on the right side of the chart, while the rest of the data is skewed to the left. Often, the hill at the left will be cut off sharply at the far left edge. This can cause two major problems. The first is obvious—less detail in the shadows. The second appears when you try to adjust the image—noise. Underexposed, dark areas often will pick up annoying and distracting noise.

    The correction is fairly easy: add exposure. If you’re on automatic mode, use the + (plus) part of exposure compensation to bump up exposure.

    Overexposure demonstrates the opposite. You’ll find little or no data on the left side of the chart compared with the right, and the right side often will be cut off sharply. That cutoff is a real concern, since those areas of exposure beyond that level will be washed out, appearing blank in the photograph. The correction: subtract exposure. If you’re on automatic mode, use the – (minus) part of exposure compensation to lower exposure.

    A low-contrast scene shows something entirely different. Typically, it will show a histogram with an entire hill of data well within the left and right borders. No tonal values will be seen near either the left or right side. This can be a challenging histogram because often it will need to be stretched in your image-processing program. That stretching can cause problems with tonalities banding because not enough data may be present to support all the tones.


    Some low-contrast scenes should be kept low contrast, such as foggy skies. Other scenes need correction, however. This is a good scenario for RAW capture, since it will allow stretching of tones without damage to the image. On many cameras, you can choose different contrast settings for the conditions, for example, setting a custom parameter on your camera just for cloudy days that increases contrast and saturation.

    Overall, you want your photo to display a histogram that slopes down as close as possible to the most important brightness values of your photograph. If the highlights are critical, then the slope must end at or before the right side. If the shadows are essential, then the slope must favor the left side. This can be decisive in getting an image with proper data going into your computer.

    There are several ways of making these adjustments. The easiest way to deal with a scene is to become very familiar with your camera’s ± exposure compensation control. Dial it down (minus, for less exposure) when the histogram is bumping the right side of its area; dial it up (plus, for more exposure) when the histogram is too far to the left.

    There are no absolute rules for using a histogram. Every scene is different. You’ll need to interpret the histogram as it relates to the scene in front of you and what you believe is a good way of seeing the scene. It’s worth experimenting, since there’s no cost to taking extra shots in digital. Try different exposures and see what they look like on the histogram to learn how this function reads various scenes.

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