Mean square error performance evaluation of a commercial speckle imaging system using simulated imagery

We examine the performance of a commercially available speckle imaging system in reconstructing static scenes from imagery corrupted by anisoplanatic distortions commonly observed when imaging over long horizontal paths near the ground. Performance is evaluated using the Mean Squared Error between system outputs and a diffraction-limited reference image. Input image frames are taken from a large library of simulated imagery of a static object observed over a 1 km horizontal path through volume turbulence in 3 turbulence conditions. 1000 image frames are available for each condition allowing for a statistically significant characterization of system performance over a range of turbulence conditions