Local wavefront reconstruction

摘要

A problem with wavefront reconstruction is that smaller details are often smeared out in the background of larger noise. A least squares fit tries to distribute measurement errors over the entire region. Features of the size of the RMS error tend to get obscured. We present a reconstruction algorithm and framework that redresses some of these problems. Small patches are reconstructed and then joined together. We discuss how this is implemented.