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TECHNO BYTES Q & A How can I eliminate noise in the dark areas when scanning radiographs or slides? Demetrios J. Halazonetis Athens, Greece N oise is produced when a charge-coupled device registers light when none exists. This happens particularly in dark areas, because the incident light there is of a very low intensity, and noise artifacts become more apparent. Charge-coupled devices are particularly prone to noise, and high-end scanners have sophisticated electronics to minimize the effect. If you have problems with noise, here are some solutions. 1. Get a better scanner. This is a radical solution but worth considering if you scan frequently and noise is a major issue. Aim for a scanner with a high optical density. 2. Get a scanner with the multi-scan feature. Such scanners scan the original more than once and calcu- late the average of the acquired images. Because noise is random, the average will tend to minimize it, while leaving the true image pixels intact. 3. Multi-scan the image yourself. If your scanner does not support multi-scanning, you can simulate the procedure by scanning the original 3 or 4 times and merging the resulting images, using image process- ing software. Figure 1 shows the submental area of a cephalometric radiograph as scanned by my Epson 1600 Pro (Seiko Epson, Nagano, Japan). The gamma setting has been changed to enhance the dark area. Note the amount of noise, evident as bright pixels at random locations, but especially at the root of the tongue and hyoid bone. To reduce noise, I scanned the same area 4 times and used Adobe Photoshop Elements 2 (Adobe Systems, San Jose, Calif) to merge the 4 images. This was done by creating an image with 4 layers. Each layer contained 1 of the scanned images. I then set the opacity of each layer so that each layer contributed the same amount to the composite. The opacity of the topmost layer was set to 25%, that of the layer underneath was set to 33%, and the opacity of the next layer was set to 50% (Fig 2). The composite image is shown in Figure 3 with the same gamma setting as Figure 1. The result is a much smoother image without sacrificing detail, as would be the case if a blurring or antinoise filter was used. Multi-scanning can be found in some cephalometric software, and the merging of the images is done automatically, without the need to resort to external programs such as Photoshop. Assistant professor, Orthodontic Department, University of Athens Dental School, Athens, Greece. Reprint requests to: D. Halazonetis, 6 Menandrou St, Kifissia 145 61, Greece; e-mail, [email protected]. Submitted and accepted, November 2003. Am J Orthod Dentofacial Orthop 2005;127:83– 4 0889-5406/$30.00 Copyright © 2005 by the American Association of Orthodontists. doi:10.1016/j.ajodo.2003.11.022 83

How can I eliminate noise in the dark areas when scanning radiographs or slides?

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TECHNO BYTES Q & A

How can I eliminate noise in the dark areaswhen scanning radiographs or slides?Demetrios J. Halazonetis

Athens, Greece

Noise is produced when a charge-coupled deviceregisters light when none exists. This happensparticularly in dark areas, because the incident

light there is of a very low intensity, and noise artifactsbecome more apparent. Charge-coupled devices areparticularly prone to noise, and high-end scanners havesophisticated electronics to minimize the effect. If youhave problems with noise, here are some solutions.

1. Get a better scanner. This is a radical solution butworth considering if you scan frequently and noiseis a major issue. Aim for a scanner with a highoptical density.

2. Get a scanner with the multi-scan feature. Suchscanners scan the original more than once and calcu-late the average of the acquired images. Because noiseis random, the average will tend to minimize it, whileleaving the true image pixels intact.

3. Multi-scan the image yourself. If your scanner doesnot support multi-scanning, you can simulate theprocedure by scanning the original 3 or 4 times and

Assistant professor, Orthodontic Department, University of Athens DentalSchool, Athens, Greece.Reprint requests to: D. Halazonetis, 6 Menandrou St, Kifissia 145 61, Greece;e-mail, [email protected] and accepted, November 2003.Am J Orthod Dentofacial Orthop 2005;127:83–40889-5406/$30.00Copyright © 2005 by the American Association of Orthodontists.

doi:10.1016/j.ajodo.2003.11.022

merging the resulting images, using image process-ing software. Figure 1 shows the submental area ofa cephalometric radiograph as scanned by myEpson 1600 Pro (Seiko Epson, Nagano, Japan). Thegamma setting has been changed to enhance thedark area. Note the amount of noise, evident asbright pixels at random locations, but especially atthe root of the tongue and hyoid bone. To reducenoise, I scanned the same area 4 times and usedAdobe Photoshop Elements 2 (Adobe Systems, SanJose, Calif) to merge the 4 images. This was doneby creating an image with 4 layers. Each layercontained 1 of the scanned images. I then set theopacity of each layer so that each layer contributedthe same amount to the composite. The opacity ofthe topmost layer was set to 25%, that of the layerunderneath was set to 33%, and the opacity of thenext layer was set to 50% (Fig 2). The compositeimage is shown in Figure 3 with the same gammasetting as Figure 1. The result is a much smootherimage without sacrificing detail, as would be thecase if a blurring or antinoise filter was used.Multi-scanning can be found in some cephalometricsoftware, and the merging of the images is doneautomatically, without the need to resort to externalprograms such as Photoshop.

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Figure 1.

American Journal of Orthodontics and Dentofacial OrthopedicsJanuary 2005

84 Halazonetis

Fig 1. Hyoid bone area, scanned once, with scanner ofoptical density 3.3. Note amount of random noise.Image has been manipulated by changing gamma

value, so that dark areas are enhanced.

Fig 2. Four images arranged as layers in Photoshop.Opacity of each layer has been set so that each imagecontributes equally to final image. Layer 1 has opacity at50%, layer 2 has opacity at 33%, and layer 3 has

opacity at 25%. Background layer is at 100%.

Fig 3. Composite image, at same gamma setting as