# Kalman image noise filter with know signal variance

1. Apr 14, 2014

### jaap de vries

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:

$A e^{(-T/B)} + C$

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