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Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00253-17-C-0024
Agency Tracking Number: N17A-016-0023
Amount: $224,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N17A-T016
Solicitation Number: 2017.0
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-08-01
Award End Date (Contract End Date): 2019-02-20
Small Business Information
19805 Hamilton Ave
Torrance, CA 90502
United States
DUNS: 625511050
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tait Pottebaum
 Senior Scientist
 (310) 756-0520
Business Contact
 Linda Papermaster
Phone: (310) 756-0520
Research Institution
 Northwestern University
 Kelly Morrison
633 Clark Street,
Evanston, CA 60208
United States

 (847) 491-3003
 Nonprofit College or University

OKSI and Northwestern University propose to develop a super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels of image enhancement can be attained. The newly developed SR methodology will directly address the Navys desire for variable resolution MWIR imagery achieved through post-processing, as well as the imaging needs of other government agencies. During Phase-I, OKSI and Northwestern University will demonstrate a proof-of-concept for the SR methodology and quantify the image enhancement that is attained. In Phase-II, OKSI and Northwestern University will build and demonstrate a prototype imaging system with near real-time post-processing for small image segments.

* Information listed above is at the time of submission. *

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