Paper
2 November 2001 Local wavefront reconstruction
Daniel M. Topa, James K. Gruetzner
Author Affiliations +
Abstract
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel M. Topa and James K. Gruetzner "Local wavefront reconstruction", Proc. SPIE 4476, Vision Geometry X, (2 November 2001); https://doi.org/10.1117/12.447276
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KEYWORDS
Wavefronts

Wavefront sensors

Reconstruction algorithms

Wavefront reconstruction

Sensors

Matrices

Semiconducting wafers

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