|ITI LED Lightbox||1 – 100,000 Lux **||95.2%||Over 97||260 mm x 220 mm||400 (W) x 380 (H) x 100mm (D)||Bluetooth, USB|
|IQL LED Lightbox||10 – 40,000 Lux||254mm x 279.4mm||472.4 x 383.5 x 129.5mm||Wireless via Android|
|GL-16e Lightbox Viewer||5750 Lux||63.6%||96-98||10 x 18″ (25 x 46 cm)||15x25x5″ (38x64x13cm)||Manual|
|GL-20e Lightbox Viewer|
|GL-30e Lightbox Viewer|
|GL-44e Lightbox Viewer|
|GLX-3044 Lightbox Viewer||N/A||N/A||96-98||30×42″ (76x107cm)||35x49x5″ (89x124x13cm)||Manual|
|GLX-3856 LIghtbox Viewer||N/A||N/A||96-98||38×56″ (96x142cm)||43x63x5″ (109x160x13cm)||Manual|
|GLE-10 Lightbox Viewer||N/A||TBC||96-98||8×10″ (20x25cm)||15.5×12.25×3.25″ (39x31x8cm)||Manual|
|GLE GLX-30 Lightbox Viewer||5000 Lux||70.1%||96-98||16″ x 30″ (41 x 76cm)||21 x 37.5 x 5″||Manual|
|Artograph LightPad® 930||2820 Lux||77%||12×9″||On/Off|
|Artograph LightPad® 950||2740 Lux||78.5%||24×17″||On/Off|
*measured using 9 rectangular regions, as described below.
** measured using 30-10,000 lux model, ultra bright version has 90% uniformity
|A better color quality measurement? The color quality of light sources is traditionally measured by CRI (Color Rendering Index), which has a maximum value of 100 (%). Recently, doubt has been cast on the accuracy of CRI, and a new Color Rendition measurement has been proposed: IES TM-30-15. It’s unfamiliar and the linked document doesn’t have an equation or algorithm for calculating it from the light spectrum. We’ll wait and see…|
Lightbox Uniformity- Detailed Measurements
For the key measurement, the definition of uniformity is
Uniformity = 100%*(1 – (maximum of 9 regions- minimum of 9 regions) / maximum of 9 regions)
where the 9 rectangular regions (shown in the figures below) include the top, bottom, left, right, 4 corners, and center. The rectangular region dimensions are 10% of the crop width and height and (except for the center region) they are located 5% of the width and height from the boundaries, as described below.
Click on any of the images below to view full-sized.
We developed a methodology for measuring lightbox uniformity because we were not aware of any relevant standards.
- Photograph the lightbox using a camera with a long focal length marco lens. Such lenses tend to be highly uniform, i.e., have very low vignetting. We used the Canon EOS-6D with the highly-regarded 100mm f/2.8 macro lens set at f/8. Be sure to capture raw images. We used manual focus because the EOS-6D didn’t focus well on this image.
- Frame the lightbox so it occupies about the central 30% of the image (10% by area). This makes the already low vignetting insignificant. Here is the framing (and region selection) for two lightboxes.
|ITI Lightbox||GTI Lightbox|
- Open Uniformity (or Uniformity Interactive) and read in the raw file, converting it to a gamma = 1 (linear) file. (This means it’s not a standard file, but pixel level will be proportional to illumination.) Here are the recommended settings from the Imatest dcraw GUI window. The key settings are Output gamma = 1.0 (Linear), Auto white level checked, and Normalize by 1.0.
- Crop the images just inside the bright areas of the lightbox, as shown above. If there are areas of rapid illumination falloff close to the edges of the lightbox image, it’s OK to omit them.
- Click Yes to open the Uniformity settings box. The key settings are shown inside the red rectangles. The corner and side regions (the rectangles) are 10% of the ROI (linearly), and the location of the regions is 5% (of the ROI size) from the ROI boundaries. We feel this is a reasonable summary metric since most tone and color measurements are made in the central two-thirds of the image. Uniformity is more important when measuring tone and color than it is for MTF, even though Imatest corrects for patch nonuniformity due to vignetting and uneven illumination.
- After you click OK (not shown) Uniformity runs and the results figures appear. The key nonuniformity summary metric does not appear in the figures it’s in the CSV and JSON file output. Here is the relevant CSV output.
Uniformity = 100%*(1 – (maximum of 9 squares – minimum of 9 squares) / maximum of 9 squares)
|Nonuniformity LRTB sides ctr (%)||36.44|
|Uniformity LRTB sides ctr (%)||63.56|
- and here is the JSON output: