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Logan, Utah 84321

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  In Image Acquisition

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Problem Solving

...in Image Acquisition

Image Acquisition can involve scanning, digital photography, screen capturing, etc. Despite following our Images and Scanning guidelines, there are still many variables and problems that can come up. Moiré patterns, inaccurate color, 'hot' spots, banding, jagged edges, and many more. We'll describe some of these briefly, with a short answer. For better technical support and specific solutions for your job, please give us a call.

Moiré (Moire): This is a term used to describe wavelike patterns in fabric, but applies to printing in some ways. Technically a "moiré" is an interference pattern. It generally occurs when an image that you are attempting to scan has already been printed. Printed images, as opposed to photographic prints or original art, have been converted to halftones. This means that they have been broken up into fine rows of dots with overlapping colors to reproduce the image. If you examine a printed piece closely, you will see small rosettes or rows of dots that make up the image.
     A scanner takes samples of an image at regular intervals, those intervals are smaller and/or more frequent as the scanner resolution is increased. When scanning a previously printed image, the scanner 'hits' and 'misses' these previously printed dots, and the result is an interference pattern of dark and light spots, or wavy lines, or honeycomb patterns.
     There is no practical way to scan a previously printed image such that the scanner will 'hit' all the rows of dots in the image, but there are a couple of techniques to help make the scan better.
     First, descreening is sometimes helpful in the scanner software. If you know the lpi of the previously printed piece, you can input this into the scanner software and it will make automatic adjustments to produce the best scan. Sometimes this does a very good job, other times it is very poor. One trick is to scan at resolutions that are purposely not divisible by your scanner's optical resolution. This forces the scanner to approximate each sample, and can help eliminate unwanted interference patterns by slightly blurring each sample.
     Next, filtering in a raster image program such as Adobe® Photoshop® can reduce or eliminate unwanted patterns. Filters such as Median and Dust/Scratches are sometimes helpful.

Inaccurate Color: Scanning colors accurately is extremely important if the intent is to reproduce those colors as closely as possible. Scanner optics are improving continually, and color reproduction is becoming easier. Many factors can affect your scans, and there are simple techniques to calibrate your scanner. There are also expensive color management solutions if your workflow warrants it.
     The two biggest helps in scanning color are linearization and color cast removal.
     To linearize your scanner means to calibrate it to some extent such that gray levels are being recognized correctly. In other words, 100% black is seen as black, 50% yields 50%, and white yields white. This may sound elementary, but many scanners are factory programmed with incorrect gamma which makes good-quality scans, but does not generally produce desired results for commercial printing. A grayscale strip (target) with known values can be obtained from Kodak, Agfa, or perhaps your scanner manufacturer. Scanning this target allows you to determine the values that your scanner is registering for various shades, and (depending on your scanner software) make corrections for it.
     Removing color cast means removing any tendency of the scanner to reproduce images with heavy red, green, or blue values. For example, a neutral color in an image, such as a white dress or a gray area, should have equal values for red, green, and blue once it is scanned in RGB. If the area has high green values, for example, the scanner is said to have a green color cast. Removing color cast can be done by scanning the grayscale target and changing the curves for red, green, and blue channels. The idea is that you want your scanner to register neutral gray values as having equal parts red, green, and blue.

Hot Spots are found in images having high-key (white) areas of sharp contrast. Glass-glare, chrome, or even people's foreheads can have hot spots. In photography, such areas should be reproduced with pure white. In commercial printing, once these images are converted to halftones, they will look much better if these light areas are about 5% black (95% white). This means they will retain a small halftone dot in high-key areas. If they do not, they will gain 'hot spots,' or an absence of halftone dot. Since the image is printed with halftone dots, high-key areas look unusually conspicuous if they are not produced the same way.

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© 2008 Watkins Printing
Updated Wednesday, 29 December 2004

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