Pith. sign in

REVIEW 1 cited by

Randomized Aperture Imaging

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1601.00033 v1 pith:IXPMDLSC submitted 2016-01-01 astro-ph.IM physics.optics

classification astro-ph.IMphysics.optics
keywords usedbinaryimagingrandomizedaberrationsaffordedalgorithmsanother
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original 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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Learning to See Through Flare

    eess.IV 2025-08 conditional novelty 6.0 of 10

    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.

Pith tools