Stray Light Normalization

Normalization "factors out" the level of the light source used in testing. It allows for easier comparison between tests performed with different hardware.

Methods

None

This is the simplest of the normalization methods (don't normalize). It has two main benefits:

Inputs
Assumptions
Normalization Factor

The normalization factor for this method is always 1.

Metric Range

For a normal calculation, stray light will range from 0 (best possible measurement) to the maximum digital number of the image (worst possible measurement).

On-Axis Reference Image

The on-axis reference image

Inputs
Assumptions
Normalization Factor
  1. Capture an image of the source on-axis.
    1. Note that the image of the source should not be saturated.
    2. If it is, adjust the level of the source (directly or with ND filters) and/or the exposure of the camera until the image of the source is not saturated.
    3. Record the parameters used to generate the reference image.
  2. Create (or apply) the mask of the source to identify the pixels in the image that correspond to the light source.
  3. Take the mean of the source pixels.
  4. The normalization factor is the mean of these source pixels transformed back to an equivalent to the "test images".
Metric Range

For a normal calculation, stray light will range from 0 (best possible measurement) to 1 (worst possible measurement). Note that due to numerical and algorithmic issues, values slightly higher than 1 are possible.

References

[1] B. Bouce, et. al, 1974. "GUERAP II - USER'S GUIDE". Perkin-Elmer Corporation. AD-784 874.