Best post processing procedure to filter data in thermography

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Luca Pecoriello
Luca Pecoriello 2019-12-11
Hi.
I have some data from thermographic analysis, stored in a third dimensional tensor (pixel-pixel-time). The tensor contains just the amplitude of the signal captured by the thermocamera during the experiment.
In post-processing I am using the following steps in the following order:
  1. I am removing the background noise
  2. For each signal contained at each pixel (512 x 640 pixels) I am applying a moving average to smooth the data
  3. I am removing the gaussian noise
  4. I am removing the salt and pepper noise
  5. I am applying a custom made LowPassFilter at very low frequency
I was wondering if this is the most common sequence of steps in MATLAB.
Greetings
Luca

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