What choices are better for which cases? |
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Colors > Adjust > Brightness/Contrast The reason is that the tool is destructive to image information. When you increase the brightness you add some increment to every color value, lets suppose 30. A color of 210 is increased to 240. However, a color of 230 is increased to 260 and a color of 240 is increased to 270. Since you have a maximum of 255 for the value of a color both colors are clipped to 255. Thus, what was originally a difference of 10 units in highlights (240 - 230) becomes zero. The color difference is permanently destroyed and cannot be recovered. The same happens in shadows when you reduce the brightness. |
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The permanent damage can be overcome by using the effect as an adjustment layer. Similar things can happen if you use blend modes for manipulating image brightness. |
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It makes much more sense to use Colors > Adjust > Gamma Correction for manipulating image brightness because this is much less destructive. Only extreme values of the control (not used in practical adjustment) can damage the photo. |
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Colors > Histogram Functions > Histogram Adjustment With this filter you receive information what information you are losing. Under the Low and High Clip Limit controls are little windows showing what fraction of image information you are discarding. Generally, this should be 0.1% or less. Depending on subject (e.g. a shiny forehead) you may need a lower number still. You can actually reproduce the Brightness/Contrast example I gave above with this tool. Press Reset then set 225 (255 - 30) for the High Clip Limit and 30 for Output Min. Compare histograms before and after and check the information loss. If you are going to be adjusting a lot of photographs I would strongly recommend becoming very familiar with this tool. You will learn to make adjustments in a principled way with the histogram as a guide to how information is distributed in your image. (This takes a bit of practice since the histogram depends both on image exposure and on image subject.) For example, the histogram can help you understand why the image looks as it does (e.g. too many dark tones and too few light, not much midtone information, etc.).
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