Performance of Hybrid Adaptive Optics Systems

Advances in Adaptive Optics (AO) systems and image processing techniques have allowed image reconstruction to reach new levels of sophistication with impressive improvements in resolvability. The products of these reconstruction methods are often compared by eye due to a lack of widely agreed-upon objective performance metrics. This presentation describes imagery of satellites taken with and without an AO system and with image post-processing. The AO system in question allows for rapid switching between compensated and uncompensated imagery, so an objective comparison between the two is possible. We define and implement a new metric that allows for evaluations of image reconstruction algorithm performance and AO performance.