Imatest 4.4+ can evaluate auto white balance (AWB) as a measure of correlated color temperature with respect to time. This can be performed by using the Colorcheck module with an appropriate video file.

Related pages Auto Exposure
in Stepchart
Autofocus Speed
in SFR
Auto White balance
in Colorcheck


This metric is intended to be used as a way to measure the time a camera system takes to auto white balance a scene. Rise time and settling time are automatically calculated. This measurement does not provide information about the accuracy or precision of auto white balance. To evaluate those measures, several measurements should be performed on the final, settled images and compared.

File Selection and Frame Selection

Begin by clicking on Colorcheck from the main window and select a video file. Select the Plot metric with respect to time: Correlated color temperature option and select a range of frames that covers from incorrectly white balanced to balanced for at least 1-2 seconds. Any shorter and you risk not having enough frames to ensure the AWB system has settled completely.

For more details on supported video formats, see Image file formats and acquisition devices

Video Selection window

Region Selection

Select the chart 

For more details on how to select Colorcheck regions, see Colorcheck

Colorcheck Region Selection window

Note that when selecting regions, the last frame in the sequence is used since that frame should be completely in-focus, making region selection easier.


The final output figure will be displayed at the end of the run and saved to the output save directory if selected. If no plot option is selected, nothing will be displayed. CSV and JSON outputs will always be saved to the output save directory.

Auto white balance Output Figure

The figure output will contain a plot of the correlated color temperature with respect to time for each patch of the measured chart. The time axis (x-axis) will be in units of seconds and will be in units of absolute time from the video file. The figure will also contain some details about the run including ROI size, in and out points in the video file, total time range, settling time, 10-90% rise time, and total frames analyzed. Settling time and rise time are calculated on the middle grey patch of the chart.


The JSON output file will contain the following structure:


  • AutoWhiteBalance:
    • VideoDimensions:
      • Width: Video width in pixels
      • Height: Video height in pixels
    • InPoint: The selected in-point for the video in seconds
    • OutPoint: The selected out-point for the video in seconds
    • TotalTime: The total time evaluated (equivalent to OutPoint – InPoint)
    • TotalFrames: The total number of frames analyzed. Depending on whether or not the video is variable frame-rate, this may not be equivalent to TotalTime*fram-rate.
    • SettlingTime: The time taken for the specified metric to settle to +/- 5% of the mean in seconds
    • RiseTime: The time taken to go from 10% to 90% of the starting mean to the settled mean in seconds
    • DampingRatio: The damping ratio of the measured state change
    • Unit: The string name of the selected secondary readout
    • Time: An array of measured time values in seconds
    • Metric: The measured value for each point in time. In the units specified in Unit.