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Kalman image noise filter with know signal variance

  1. Apr 14, 2014 #1
    Wow I have been away for a long time, good to be back.

    I am stuck with the follwoing problem, I want to use a Kalman filter to clean up IR images with sensor noise. I have been able to define the noise (variance) using a blackbody radiant source. I was able to derive the following conclusions:

    1. All noise is Gaussian (white) with zero mean.
    2. The standard deviation of the noise reduces with increasing temperatures following the equation:

    [itex]A e^{(-T/B)} + C[/itex]

    Does anyone know how I could use this information to create a smarter Kalman filter?
     
  2. jcsd
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