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Optical Engineering • Open Access

Special Section Guest Editorial: Optical and Hybrid Imaging and Processing for Big Data Problems
Author(s): Khan M. Iftekharuddin; Abdul A. S. Awwal; S. Susan Young; Ghaleb M. Abdulla

Paper Abstract

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.

Paper Details

Date Published: 24 January 2014
PDF: 2 pages
Opt. Eng. 53(1) 011001 doi: 10.1117/1.OE.53.1.011001
Published in: Optical Engineering Volume 53, Issue 1
Show Author Affiliations
Khan M. Iftekharuddin, Old Dominion Univ. (United States)
Abdul A. S. Awwal, Lawrence Livermore National Lab. (United States)
S. Susan Young, U.S. Army Research Lab. (United States)
Ghaleb M. Abdulla, Lawrence Livermore National Lab. (United States)

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