NeuSee jointly learns a phase mask and a restoration network that, in simulation, lets a camera see a scene while withstanding laser irradiance up to 10^6 times the sensor saturation level across the visible spectrum.
Randomized Aperture Imaging
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abstract
Speckled images of a binary broad band light source (600-670 nm), generated by randomized reflections or transmissions, were used to reconstruct a binary image by use of multi-frame blind deconvolution algorithms. Craft store glitter was used as reflective elements. Another experiment used perforated foil. Also reported here are numerical models that afforded controlled tip-tilt and piston aberrations. These results suggest the potential importance of a poorly figured, randomly varying segmented imaging system.
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Learning to See Through Flare
NeuSee jointly learns a phase mask and a restoration network that, in simulation, lets a camera see a scene while withstanding laser irradiance up to 10^6 times the sensor saturation level across the visible spectrum.