Randomized Aperture Imaging

TL;DR

This paper explores the use of randomized aperture imaging with speckled images and multi-frame blind deconvolution to reconstruct binary images, demonstrating potential advantages of randomly varying segmented systems.

Contribution

It introduces a novel approach combining speckled imaging and blind deconvolution for aperture imaging, including experimental and numerical modeling insights.

Findings

Successful binary image reconstruction from speckled images

Demonstrated effects of tip-tilt and piston aberrations

Potential of randomly varying segmented systems for imaging

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.