Performance evaluation of two retina-like preprocessors for imaging detector arrays

This research presents the performance evaluation oftwo retina-like preprocessors for imaging detector arrays. In particular the preprocessors are an adaptive neural network gain and level controller and a temporal high pass filter. These preprocessors were developed by Scnbner et. al. at the Naval Research Laboratory (NRL) for the purpose of chip-level non uniformity correction associated with InfraRed Focal Plane Arrays (IRFPA). Three performance evaluations are described. The first evaluation involves the determination of a spatio-temporal steady state transfer function (very similar to Modulation Transfer Function). The second involves the processor reduction offixed pattern noise. Finally, the processor is evaluated on its capacity to reduce temporal 1/fnoise. The performances of the preprocessors are compared and contrasted with a discussion oftheir advantages and disadvantages.