Uniformity (Interactive)  measures lens vignetting (dropoff in illumination at the edges of the image) and other image, illumination, and sensor nonuniformities— the same parameters measured by Light Falloff— in an interactive interface. For example, it can measure evenness of flash illumination (using light bounced off a white wall) or the uniformity of flatbed scanners. In Imatest Master, Uniformity can also display a pixel level histogram, analyses of hot and dead pixels and color shading, and a detailed image of fine nonuniformities (i.e., sensor noise). These features are described in Light Falloff instructions: Imatest Master .

New in Imatest 3.7
A minor error has been fixed for the case when the sizes of the corner and side regions were set between 1% and 10% and the image was over 600 pixels wide. The sizes were smaller than indicated. Te fix could cause a small discrepancy in results, but little systematic error. Plese contact Imatest support if this presents a problem.

New in Imatest 3.6 
Uniformity-Interactive is an interactive module that duplicates Light Falloff's functionality. It is compatible with the Imatest Image Sensor edition.

The instructions below largely duplicate the Light Falloff instructions.

Instructions

To prepare an image for Uniformity,


SphereOptics integrating sphere

To obtain truly even illumination
for precision scientific measurements you'll need an integrating sphere from a supplier such as Image Engineering, SphereOptics, Labsphere, or Electro-Optical Industries (EOI).
The SphereOptics system on the right is about $8,000, including variable attenuator, power supplies, operating software, and calibration. It is available in sizes from 4 to 76 inches.

The Image Engineering Spherical Transparency Illuminator LE6 was designed for a variety of photographic applications. A mechanical shutter can dim the light down to 1% of the maximum illumination without changing the color temperature.

The DSC Labs Ambi Illuminator also provides extremely even illumination from a variety of external light sources. It is excellent for illuminating transparencies.

Integrating spheres aren't cheap. Controlling Veiling Glare in an Optical Imaging System by Amber Czajkowski (University of Arizona) contains a description of a really neat do-it-yourself integrating sphere project, based on stainless steel balls from http://www.gazingballoutlet.com, which sells balls up to 30 inches (0.75 meters) in diameter! A 16 inch (40 cm) ball is under $100 USD.

Other less expensive alternatives include Kyoritsu calibrated light sources (especially the pattern light boxes), available in the North America from C.R.I.S. Tsubosaka (Japan) also has some interesting products. There are no obvious US or European distributors. Also of interest:
DNP Light boxes.
 

To run Uniformity,

Start Imatest and click on Uniformity Interactive. This opens a dialog box that asks for input image file(s).

Very large files (height x width x colors over 40 MB) may cause memory overflow problems. Files over 40 or 80 MB can be automatically reduced 1/2x linearly (using 1/4 the memory). Click Settings, Options I (in the Imatest main window) and make the appropriate setting in LARGE FILES (Light Falloff, Distortion).

Multiple file selection Several files can be selected in Imatest Master using standard Windows techniques (shift-click or control-click). Depending on your response to the multi-image dialog box you can combine (average) several files or run them sequentially (batch mode).

Combined (averaged) files  are useful for measuring fixed-pattern noise (at least 8 identical images captured at low ISO speed are recommended). The combined file can be saved. Its name will be the same as the first selected file with _comb_n appended, where n is the number of files combined.

Batch mode  allows several files to be analyzed in sequence. There are three requirements. The files should (1) be in the same folder, (2) have the same pixel size, and (3) be framed identically.

The input dialog box for the first run is the same as for standard non-batch runs. Additional runs use the same settings. Since no user input is required they can run extremely fast.

If the order of the files in a batch runs is different from the selection order, click Settings, Options I (in the Imatest main window) and change the setting in Batch run order. The sequence may be affected by Windows Explorer settings.

One caution: Imatest can slow dramatically on most computers when more than about twenty figures are open. For this reason we recommend checking the Close figures after save checkbox, and saving the results. This allows a large number of image files to be run in batch mode without danger of bogging down the computer.

Three cropping (ROI selection) options are available by clicking Options I in the Imatest main window. The second option (Select crop by dragging cursor. Ask to repeat crop for same sized image), which is similar to the ROI selection in SFR, is typically preferred.

Don't ask to crop. (Use Crop ... borders settings in LF input dialog box.)
Select crop by dragging cursor. Ask to repeat crop for same sized image.
Select crop by dragging cursor. Do not ask to repeat crop.

After the input file has been read, the Uniformity-Interactive window, showing results, is displayed.

Uniformity Interactive window showing contours
Uniformity-Interactive main window, showing pixel contours
(identical to the first figure of Light Falloff)

Results are displayed using the previous (saved in imatest.ini) settings, in this case the pixel contour plot with unnormalized contours superposed on the image.

Uniformity controls

Uniformity dialog box

This dialog box appears when you answer Yes (not Express mode) when reading an image or when you press the More Settingsbutton.

Imatest Studio- Light Falloff input dialog box
Uniformity settings dialog box for Imatest Master

Contour plot display options  Eight display options are available. 3D plots are available in Imatest 3.4+. Normalized refers to the Pixel contour display only. These settings are in Primary display settings dropdown menu of the main Uniformity window.

Contours superposed on image (not normalized)
Contours superposed on image (normalized to 1)
Pseudocolor with colorbar (not normalized)
Pseudocolor with colorbar (normalized to 1)
3D pseudocolor w/colorbar (not normalized)
3D pseudocolor w/colorbar (normalized to 1)
3D pseudocolor shaded w/colorbar (not normalized)
3D pseudocolor shaded w/colorbar (normalized to 1)


Contour plot scaling window
Manual scaling for contour plots
Auto or manual scaling: Press Set with Scaling. Scaling set by Scaling button.
Scaling: 0 - 1 or 255: -4 - 0 f-stops Fixed scaling: 0 - 1 or 255 for Luminance pixel plot; -4 - 0 f-stops for f-stop plot.
Scaling (min - max) Fully automatic scaling.

Color shading, Color uniformity profiles, and Fine detail displays only apply to Imatest Master. We describe them briefly.

Color uniformity profiles  Choose between several different normalizations or R, G, B, and Y, R/G and B/G, or Delta-L*, a*, b*, and C*. These settings are in Primary display settings dropdown menu of the main Uniformity window.

Fine detail display  Choose between exaggerated local noise with or without contour lines, pseudocolor contours, spot detection (which includes nonlinear processing), or several 3D plots.

Settings area

The following options are available in Imatest Master only. They are discussed in detail in Light Falloff instructions: Imatest Master .

Hot & dead pixel dialog area

Because signal processing— especially JPEG compression— can cause these values to shift, you can use the sliders to set the detection threshold between 6-255 for hot pixels and 0-249 pixels for dead pixels. (The extreme values are for measurements made on white or black fields.) Clicking on < or > at the ends of the sliders adjusts the threshold by 1. The default values are 252 and 4, respectively. Settings are saved between runs. JPEG files must be saved at the highest quality level for this feature to work; isolated hot and dead pixels tend to be smudged at lower quality levels. Details are described in Light Falloff: Imatest Master .

Results

Luminance contour plot

shows normalized pixel level contours for the image file luminance channel, where luminance is defined as Y = 0.30*R + 0.59*G + 0.11*B.. A maximum value of 1 corresponds to pixel level = 255 for image files with a bit depth of 8 or 65535 for a bit depth of 16. Some illumination nonuniformity is evident in the plot: the top is brighter than the bottom. The image is smoothed (lowpass filtered) before the contours are plotted.


Luminance (relative pixel level) contour plot

The text displays the maximum normalized pixel level for the luminance channel, the worst and mean corner values (in normalized pixel levels and as a percentage of maximum), and the side values. Selected EXIF data is shown on the right. Two hot and two dead pixels (which were simulated) were detected with thresholds of 246 and 10 (pixels), respectively. The crop (Left, Right, Top, Bottom) is shown just below. Details below. Picture Window Pro Light Falloff transformation dialog boxThe setting for correcting light falloff in the Picture Window Pro Light falloff transformation is also given. The PW pro Light Falloff dialog box is shown on the right. Film Size (mm) remains at 36 (the PW Pro default value: the width of a 35mm frame). Picture Window Pro is the powerful and affordable photographic image editor that I use for my own work. The Lens Focal Length is rarely the exact focal length of the lens. Light falloff depends on the lens aperture (f-stop) as well as a number of lens design parameters. Lenses designed designed for digital cameras, where the rays emerging from the rear of the lens remain nearly normal (perpendicular) to the sensor surface, tend to have reduced light falloff. For aesthetic purposes I generally recommend undercorrecting the image, i.e., using a larger Lens Focal Length. This makes the edges somewhat darker, which is usually pleasing. Ansel Adams routinely burned (darkened) the edges of his prints. Part of the reason was that he had to compensate for light falloff from his enlarger (when he wasn't contact printing).

"My experience indicates that practically every print requires some burning of the edges, especially prints that are to be mounted on a white card, as the flare from the card tends to weaken visually the tonality of the adjacent areas. Edge burning must never be overdone..."

Ansel Adams, "The Print," p. 66. 1966 edition.

f-stop contour plot

shows image file luminance contours, measured in f-stops, normalized to a maximum value of 0. A pseudocolor display with color bar has been selected. The colors in the color bar are fixed: colors always vary from white at 0 f-stops to black at -4 f-stops and darker. For this plot to be accurate, a correct estimate of gamma (the camera's intrinsic contrast) is required. Gamma is measured by Stepchart, using any one of several widely-available step charts, or by Colorcheck.


F-stop contour plot in pseudocolor (normalized)

Gamma can be tricky to measure for several reasons. (1) Many cameras have complex response curves, for example, "S"-curves superposed atop gamma curves. This means that gamma can vary with brightness. (2) Some cameras employ adaptive signal processing in their RAW conversion algorithms. This increases contrast (i.e., gamma) for low contrast subjects and decreases it for contrasty subjects. This improves image quality for a wide range of scenes, but makes measurements difficult, especially since Light Falloff targets have the lowest possible contrast.

Both contour plots are available as 3D plots (Master-only). The following 3D plot is unnormalized and shaded.

3D contour plot
3D shaded pseudocolor F-stop contour plot (unnormalized)

Deriving f-stop falloff

The f-stop falloff in the second plot is derived from the equations,
      Pixel level = k1 luminanceγ ;     Luminance = k2 pixel level1/γ    and
      F-stop loss = log2(luminance ratio) = 3.322 log10(luminance ratio)
where luminance ratio is the ratio of the maximum luminance to the luminance in the area of interest, for example, the mean value of the corners.

Example: The first and second figures, above, are derived from the same image file. In the first figure, the mean pixel level at the corners relative to the center is 0.666/0.905 = 0.736 (73.6%). Since γ is assumed to be 0.5 (fairly typical of encoding gamma of digital cameras, the exposure at the corners relative to the center is 0.7361/γ = 0 .7362 = 0.5416. The corresponding f-stop loss = log2(0.5416) = 3.322 log10(0.5416) = -0.885 f-stops. There is a slight discrepancy with the second figure, which calculates the mean at the corners (0.894 f-stops) after taking the logarithm to convert results into f-stops.

Additional results are illustrated in Light Falloff: Imatest Master .

.CSV and XML output files

The .CSV output file contains additional statistics. Most have obvious meanings.

Contact Imatest if you need additional .CSV output.The optional XML output file contains results similar to the .CSV file. Its contents are largely self-explanatory. It is stored in [root name].xml. XML output will be used for extensions to Imatest, such as databases, to be written by Imatest and third parties. Contact us if you have questions or suggestions.

Saving results

When you press Save data the dialog box shown on the right is opened. It allows you to select which results to save (CSV or XML files) where to save it. The default is subdirectory Results in the data file directory. You can change to another existing directory, but new results directories must be created outside of Imatest— using a utility such as Windows Explorer. (This is a limitation of this version of Matlab.) The selections are saved. CSV and XML data are saved in files whose names consist of a root file name with a suffix for plot type and channel (R, G, B, or Y) and extension. Example: IMG_9875_ISO1600_RGB_f-stop_ctrG.png. The root file name defaults to the image file name, but can be changed using the Results root file name box. Be sure to press enter. After you click on Yes or No, the Imatest main window reappears.

The CSV and XML files contain EXIF data, which is image metadata that contains important camera, lens, and exposure settings. By default, Imatest uses a small program, jhead.exe, which works only with JPEG files, to read EXIF data. To read detailed EXIF data from all image file formats, we recommend downloading, installing, and selecting Phil Harvey's ExifTool, as described here.

Links

Vignetting by Paul van Walree, who has excellent descriptions of several of the lens (Seidel) aberrations and other causes of optical degradation.




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