KEYWORDS: Digital holography, Holograms, Digital imaging, Diffraction, 3D image reconstruction, Image processing algorithms and systems, Holography, Error analysis, Phase imaging
A quantitative phase image is often obtained by refocussing or by an iterative algorithm containing refocussing steps. The required propagation distance is judged by a manual search. Autofocus algorithms attempt to estimate this propagation distance. In this paper, we report novel approaches to autofocus for quantitative phase images using neural networks.
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