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Submarine Imaging Real-time Enhancement (SIREN)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00024-16-C-4010
Agency Tracking Number: N141-025-0207
Amount: $1,499,926.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N141-025
Solicitation Number: 2014.1
Timeline
Solicitation Year: 2014
Award Year: 2016
Award Start Date (Proposal Award Date): 2015-10-28
Award End Date (Contract End Date): 2019-10-27
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jonah McBride
 (617) 491-3474
 jmcbride@cra.com
Business Contact
 Mark Felix
Phone: (617) 491-3474
Email: mfelix@cra.com
Research Institution
N/A
Abstract

The Submarine Force is in the process of phasing out conventional optical periscopes in favor of digital sensor masts that electronically transmit video to the Control Center. Digital video can be fed directly into an ensemble of automated image processing algorithms, including target detection, tracking, and classification. Unfortunately, the imagery from submarine sensor masts often suffers from a variety ofartifacts, including etched reticle lines, interlacing artifacts, and smudging from water droplets. These artifacts affect image quality and negatively impact the performance of downstream processing algorithms. The current method of manual video correction is highly labor intensive and cannot be performed in real time. In our Phase I effort, we demonstrated the feasibility of our Submarine Imaging Real-time Enhancement (SIREN) system to detect and correct these artifacts in real time. In addition to aset of gold standard video enhancement algorithms and novel artifact removal techniques, SIREN features an image analysis module that detects which artifacts are present and automatically applies the correct enhancement algorithms. In the proposed Phase II effort, we will build a full scope software prototype, introduce additional enhancement algorithms, and evaluate the system across a wide range of operationally relevant scenarios.

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

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