Best post processing procedure to filter data in thermography

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