tim_renfroe1 Posted April 6, 2004 Share Posted April 6, 2004 I have been using the historgram as a tool for determining proper exposure (Over / Under Exposure), but several of my historgrams don't generate much information in the y-axis. The historgram is evenly distributed, but the graph is almost flat. What is that telling me? The image looks OK on the monitor, so I'm not sure what the Y-Axis indicates. Thanks in advance. Link to comment Share on other sites More sharing options...
robert kosara Posted April 6, 2004 Share Posted April 6, 2004 The Y axis represents the number of pixels of a particular intensity (the intensities are on the X axis). So a flat histogram simply means that your image has a very equal distribution of grey values (or intensities, let's forget color for the moment). This usually means a rather low contrast image - but that doesn't have to be a bad thing. Since you use the histogram, you have probably already noticed that when you have no values (no bars) on the high or low end of the histogram, or if all the values pile up on on end, that means that the exposure was not perfect. So this is what it tells you: too many white/black pixels compared to all the pixels in the image. At least for "normal" images. If you do high-key, that might be what you aimed for. Link to comment Share on other sites More sharing options...
mike dixon Posted April 6, 2004 Share Posted April 6, 2004 <i> This usually means a rather low contrast image</i><P> No, it doesn't. It means the image has a full range of tonal values (black to white) with all values appearing an equal amount. The histogram of a low-contrast image would have a significant amount of one or both ends of the X-axis showing zero because those tonal values are not present in the image. Link to comment Share on other sites More sharing options...
stefan1 Posted April 6, 2004 Share Posted April 6, 2004 The histogram is a global measure and contrast is a local property so the only strong relation between the histogram to the contrast is that it is a prerequisite for a high-contrast image to have both light and dark values represented. An image with peaks at the high/low end tends to have high contrast. Midtone expansion (pushing values towards this bimodal distribution) is a way to enhance contrast, midtone compression (the opposite) tends to reduce contrast. Link to comment Share on other sites More sharing options...
imaginator Posted April 6, 2004 Share Posted April 6, 2004 I'm self taught, but this is how I deal with histograms: each image is different, and you can't assume there is such a thing as a "normal" or "correct" histogram. Example: a night shot of a person leaning against a light post in the distance. Suppose I want all that dark empty space for the "mood" of the image (isolated, lonely) The histogram will show lots of dark pixles, maybe a peak in the bright pixles (the light on the post) and very little in between. Here's some other examples... like this waterfall. Notice the peak in the highs (the falls)<div></div> Link to comment Share on other sites More sharing options...
imaginator Posted April 6, 2004 Share Posted April 6, 2004 Here's an average shot of some flowers. Lots of mids and a peak in the shadows (some of the dark background areas.)<div></div> Link to comment Share on other sites More sharing options...
imaginator Posted April 6, 2004 Share Posted April 6, 2004 This is a night shot using "zoom blur" on a campfire. Lots of dark areas, some bright areas, and not much in the mids.<div></div> Link to comment Share on other sites More sharing options...
kevin_krumwiede2 Posted April 7, 2004 Share Posted April 7, 2004 I forget where I read this and unfortunately don't have it bookmarked. In PhotoShop, the Y-axis is adjusted to that the highest peak is always the full height of the graph, and the other values are adjusted relative to it. This allows you to compare tonal distribution of two histograms by comparing the areas under the curves. (A histogram with exactly equal distribution of every tone would be a solid black rectangle.) If you are seeing flat histograms, look closely... there's a full-height spike at one end or the other. Link to comment Share on other sites More sharing options...
msitaraman Posted April 7, 2004 Share Posted April 7, 2004 Mike Dixon is right... Link to comment Share on other sites More sharing options...
stevierose Posted April 9, 2004 Share Posted April 9, 2004 The histogram is a "pixel popularity poll". If you divide all the shades from black to white into 256 levels, the relative number of pixels in the image representing each of the 256 tones is displayed on the y axis. Link to comment Share on other sites More sharing options...
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