An algorithm called eigenCWD uses a low-rank decomposition of spatially varying point spread functions to deblur simulated single-metalens images faster and with better quality than Wiener filtering.
Metasurface optics for full-color computational imaging.Science Advances, 4(2):eaar2114, February 2018
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EigenCWD: a spatially-varying deconvolution algorithm for single metalens imaging
An algorithm called eigenCWD uses a low-rank decomposition of spatially varying point spread functions to deblur simulated single-metalens images faster and with better quality than Wiener filtering.