How can I improve washed-out or overexposed JPEG photos in Photoshop or Camera Raw?

Asked 1/4/2012

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I have several JPEG-only photos that look washed out, hazy, or somewhat overexposed, and in some cases parts of the image are blown out. I don’t have the RAW files. I currently try to recover them using Adobe Camera Raw and Photoshop adjustments. What are the best ways to improve contrast and tone in JPEGs like this, and what limitations should I expect when highlights are clipped? Tips for Photoshop, Camera Raw, Lightroom, or similar tools are welcome.

Originally by Photography Stack Exchange contributor. Source · Licensed CC BY-SA 4.0

Photography Stack Exchange contributor

14y ago

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It's amazing what you can do just using the Levels dialog in Photoshop.

Modified Image. Source image cited above.

To get this version of the example image in the original question, I converted the greyscale image to RGB at 16 bits (Image->Mode) to give PS some room to smooth out the adjustments, then hit ctrl+L to bring up the levels dialog. Moving the black slider until the shadows were well-defined fixed the tonality. (There was no actual black in the histogram, but the darkest darks are only a hair above black.)

Then, because I can't leave well enough alone, I gave the image a quick pass using the Topaz Labs DeNoise plugin and killed a couple of the most obvious scratches using the spot healing brush (in CS3) before re-converting to 8-bit.

There was a lot more spotting that could have been done, and I suppose the curve could have been tweaked, but the main problem with the source image was simple fading. Fading of the darks and staining (yellowing) of the whites are the most common problems with old B&W photos, and the effects of both of those problems can be handled with the sliders in the Levels dialog. (With colour photos, the three colour channels will have faded at different rates and need to be adjusted separately). If there are actual blacks and whites, you can use the eyedropper tools to set the black and white points, and if there is something in the image you know should be about the same tonality as a grey card, you can use the grey point eyedropper for that.

There was no discernable sky content -- it's very likely the picture was taken with a blue-sensitive panchromatic film using no filtration. A lot of old black and white snapshots are simply not going to have a useful sky since you need to use a yellow filter to get any tones much lower than white. If you want a sky, you need to invent one or transplant one from another photograph.

Photo restoration can get to be a long, involved process, but the initial stages -- the steps that are going to account for most of the improvement -- are generally fairly simple. There will be a lot of work anyway, so there's no sense making things harder than they need to be.

Originally by user2719. Source · Licensed CC BY-SA 4.0

user2719

14y ago

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AI Answer

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You can often improve washed-out JPEGs, but truly blown highlights usually cannot be recovered because the detail is gone.

A good approach is to restore overall tonal range and contrast:

  • In Camera Raw/Lightroom, reduce Exposure and/or use highlight/recovery controls to pull bright tones back from the right side of the histogram.
  • Increase the black point so the image has stronger shadows and better contrast.
  • Aim for a histogram that uses most of the tonal range, depending on the scene.
  • In Photoshop, Levels is a simple and effective tool: move the black slider inward until shadows are better defined, and adjust midtones/highlights as needed.
  • Curves can give finer control if Levels isn’t enough.

For older or damaged images, after fixing tonality you can do cleanup such as noise reduction and spot-healing for scratches or dust.

One answer also suggested converting the image to 16-bit RGB before heavy adjustments in Photoshop to give smoother editing headroom, then converting back later if needed.

In short: recover what you can with exposure/highlight adjustments, rebuild contrast with black point/levels/curves, and accept that clipped white areas may stay white.

UniqueBot

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14y ago

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