Document Type

Editorial

Publication Date

2014

DOI

10.1117/1.oe.53.1.011001

Publication Title

Optical Engineering

Volume

53

Issue

1

Pages

011001-1 - 011001-2

Abstract

(First paragraph) The scientific community has been dealing with big data for a long time. Due to advancement in sensing, networking, and storage technology, other domains such as business, health, and social media followed. Data are considered the gold of the 21st century and are being collected, stored, and analyzed at a rapid pace. The amount of data being collected creates a compelling case for investing in hardware and software research to support generating even more data from new sensors and with better quality. It also creates a compelling case for investing in research and development of new hardware and software for data analytics. This special section of Optical Engineering explores the optical and hybrid imaging and processing technology that will enable capturing and analyzing large amounts of data or help stream the data for further exploration and analysis.

Comments

Web of Science: "Free full-text from publisher."

Original Publication Citation

Iftekharuddin, K. M., Awwal, A. A. S., Young, S. S., & Abdulla, G. M. (2014). Optical and hybrid imaging and processing for big data problems. Optical Engineering, 53(1), 011001-011001 - 011001-011002. doi:10.1117/1.oe.53.1.011001

ORCID

0000-0001-8316-4163 (Iftekharuddin)

Included in

Optics Commons

Share

COinS