Reading QR Code Symbols with an Ultra-miniature Computational Diffractive Imager

David G. Stork; Patrick R. Gill

doi:10.1364/COSI.2014.CTu3C.5

Classical Optics 2014
OSA Technical Digest (online) (Optica Publishing Group, 2014),
paper CTu3C.5
•https://doi.org/10.1364/COSI.2014.CTu3C.5

Reading QR Code Symbols with an Ultra-miniature Computational Diffractive Imager

David G. Stork and Patrick R. Gill

Computational Optical Sensing and Imaging 2014

Kohala Coast, Hawaii United States
22–26 June 2014
ISBN: 978-1-55752-747-9

From the session
Novel Imaging Architectures (CTu3C)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
D. G. Stork and P. R. Gill, "Reading QR Code Symbols with an Ultra-miniature Computational Diffractive Imager," in Classical Optics 2014, OSA Technical Digest (online) (Optica Publishing Group, 2014), paper CTu3C.5.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

We demonstrate in hardware that an ultra-miniature, lensless computational diffractive imager can yield images of QR code symbols sufficient for accurate code reading, even amidst modest variation in target orientation.

PDF Article

More Like This

Hardware Verification of an Ultra-miniature Computational Diffractive Imager

Patrick R. Gill and David G. Stork
CTu3C.4 Computational Optical Sensing and Imaging (COSI) 2014

Computational diffractive imager with low-power image change detection

Patrick R. Gill, Mark Kellam, James Tringali, Thomas Vogelsang, Evan Erickson, and David G. Stork
CM3E.2 Computational Optical Sensing and Imaging (COSI) 2015

A Damage Resistant Holographic QR Code

Jiao Shuming and P. W. M. Tsang
DW2A.5 Digital Holography and Three-Dimensional Imaging (DH) 2013

Previous Article Next Article