Computational imaging using lightweight diffractive-refractive optics
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ArticleKAUST Department
Computer Science ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Visual Computing Center (VCC)
Date
2015-11-23Online Publication Date
2015-11-23Print Publication Date
2015-11-30Permanent link to this record
http://hdl.handle.net/10754/583044
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Diffractive optical elements (DOE) show great promise for imaging optics that are thinner and more lightweight than conventional refractive lenses while preserving their light efficiency. Unfortunately, severe spectral dispersion currently limits the use of DOEs in consumer-level lens design. In this article, we jointly design lightweight diffractive-refractive optics and post-processing algorithms to enable imaging under white light illumination. Using the Fresnel lens as a general platform, we show three phase-plate designs, including a super-thin stacked plate design, a diffractive-refractive-hybrid lens, and a phase coded-aperture lens. Combined with cross-channel deconvolution algorithm, both spherical and chromatic aberrations are corrected. Experimental results indicate that using our computational imaging approach, diffractive-refractive optics is an alternative candidate to build light efficient and thin optics for white light imaging.Citation
Computational imaging using lightweight diffractive-refractive optics 2015, 23 (24):31393 Optics ExpressPublisher
The Optical SocietyJournal
Optics ExpressAdditional Links
https://www.osapublishing.org/abstract.cfm?URI=oe-23-24-31393ae974a485f413a2113503eed53cd6c53
10.1364/OE.23.031393