MultiWienerNet: Deep Learning for Fast Shift-Varying Deconvolution
2021
We present a deep-learning method based on Wiener filters and U-Nets that performs image reconstruction in systems with spatially-varying aberrations. We train on simulated microscopy measurements and test on experimental data, demonstrating high resolution reconstructions.
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