Validation of modeled sparse aperture post-processing artifacts

Sparse aperture imaging introduces a number of interesting image quality issues. Just as with traditional systems, resolution, signal-to-noise ratio, and post processing are all relevant to image quality. This work will examine post-processing artifacts that arise in sparse aperture imagery, which are more complex than the edge-overshoot artifacts that appear in traditional imagery. Modeling has predicted the existence of these artifacts. This work will verify that prediction with real data. Artifacts rising from various causes will be examined. It will be established that model predictions can be used in future trade studies regarding artifacting.