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September 2001




 

 

 

 













 

 


by Rosemarie Monaco

Scanners: Choosing and using
Input primer, part 6


 In the last article about scanning (N&T, June 2001), I provided a quick overview of histograms and tone curves.

Before moving on to a new area, tone curves deserve a little more attention. While they are easy enough to manipulate, getting them right can be tricky. There are two ways you can make tone corrections — the linear method or the non-linear method.

One of the problems with either type of tone correction is that some of the gray level information is eliminated in order to make the specified adjustments. It either compresses or expands the selected area. This happens each time you correct the tone curve. Once you apply the correction and save the file, the information is gone forever. This is also why I always work on a copy of the original when I am making any corrections after scanning.

The experts say that the best time to make corrections is during the scanning process when you have the most information, but, of course, that’s easy to say when you’re an expert. For the rest of us, let’s just say it is best to avoid correcting over corrections.

 

Linear tone corrections

As the name suggests, a linear correction modifies the image in a flat, straight line across the entire image. I think of linear corrections as either placing a veil over an image to darken it or peeling away a layer to lighten it.

Look at the illustrations. You will see that darkening an image causes the 45-degree linear tone curve to be shifted to the right, or white end of the input axis. Shadow detail is completely lost because values are clipped to black. No white or bright highlights will be present in the image now, meaning that overall contrast has been reduced.



Brightening the image moves the tone curve to the left, or black end of the input axis, sacrificing all highlight detail by clipping it to white. Black and dark shadows are eliminated, resulting in a smaller tonal range.

Reducing overall contrast rotates the tone curve in the opposite direction, compressing the full input range into only the output midtones, removing light and dark tones.

There are times when an overall effect is desirable — on a badly over-exposed original, for instance.

 

Non-linear tone corrections

Modifying different points in a tone curve is known as non-linear correction. Gamma correction is another term for non-linear tone corrections.

Image-manipulation programs use different methods to edit gamma or tone curves. Some offer a freehand drawing tool, which is difficult to control precisely, although smoothing may be possible. Others allow the curve to be split into a number of control points, which can be moved to new positions manually, or in some cases numerically. Some have sliders.

Tone corrections should always be made before color correcting. With some scanners, you can save tone curves for use with other, similar images. Now you can apply that tone curve during scanning. This way the software can make use of the extra, oversampled data on corrections that require expansion of tonal ranges, such as shadow areas.

 

Some tips for non-linear corrections

You improve a dark original by lifting the quarter tones and midtones. This increases the shadow details and brightens the image. Because highlight details are virtually absent, compressing this area is not a problem.

Lowering the shadow three-quarter tone and raising the highlight quarter tone produces an S-shaped curve that will give a low-contrast image more snap. Midtone contrast and detail is increased, and although highlight and shadow details are compressed, they are not lost entirely.

A high-contrast image containing few midtones may be improved by lifting the shadow quarter tone and dropping the highlight quarter tone, expanding these areas into the midtone output range.

 

Rosemarie Monaco is the chief executive officer of Group M Inc., a marketing communications and consulting firm specializing in the graphic arts. Send comments and questions to rmonaco@groupm.org.