Open AccessSnapshot compressive imaging using aberrations
Author(s) -
Esteban Vera,
Pablo Meza
Publication year - 2018
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.001206
Subject(s) - compressed sensing , snapshot (computer storage) , optics , optical coherence tomography , computer science , zernike polynomials , detector , point spread function , iterative reconstruction , digital micromirror device , computer vision , artificial intelligence , physics , wavefront , operating system
Based on compressed sensing, snapshot compressive imaging aims to optically compress high resolution images using low resolution detectors. The challenge is the generation of the simultaneous optical projections that can fulfill compressed sensing reconstruction requirements. We propose the use of aberrations to produce point spread functions that can simultaneously code and multiplex partial parts the scene. We explore different Zernike modes and analyze the corresponding coherence parameter. Simulation and experimental reconstruction results from 16X compressed measurements of natively sparse and natural scenes demonstrate the feasibility of using aberrations, in particular primary and secondary astigmatism, for simple, effective single-shot compressive imaging.