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After some discussion with the Euclid NISP folks, it may make sense to use a 2D Laplace kernel to make OPEN and ADJ_OPEN pixels stand out more in OpenPixelStep. Convolving with a kernel something like:
[[0, 1, 0],
[1, -4, 1],
[0, 1, 0]]
before thresholding will make them stand out more.
The text was updated successfully, but these errors were encountered:
Given that the central pixel is set to NaN in RampFitStep, this short-circuits the Laplace filter if run on the _rate or _cal files. It might make more sense to make a stack from the first group of the constituent _jump files, i.e. before the pixel values are set to NaN for bad pixels.
After some discussion with the Euclid NISP folks, it may make sense to use a 2D Laplace kernel to make OPEN and ADJ_OPEN pixels stand out more in
OpenPixelStep
. Convolving with a kernel something like:before thresholding will make them stand out more.
The text was updated successfully, but these errors were encountered: