Mitigating Sensor Saturation through Image Processing Techniques

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-13-M-5034
Agency Tracking Number: F131-121-2162
Amount: $103,240.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solitcitation Year: 2013
Solitcitation Topic Code: AF131-121
Solitcitation Number: 2013.1
Small Business Information
Consolidated Resource Imaging
2943 South Wilson Ct. NW, Grand Rapids, MI, -
Duns: 169603631
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Todd Pepper
 System Software Engineer
 (616) 735-2080
 todd.pepper@cri.us.com
Business Contact
 Mike Stitt
Title: Chief Technologist
Phone: (616) 735-2080
Email: mike.stitt@cri.us.com
Research Institution
N/A
Abstract
ABSTRACT: Sensor saturation and the resultant loss of information is a problem that plagues both infrared and electro-optical sensors. Saturation often leads to blooming or dilation of the saturated region, destroying data in surrounding regions. A means for enhancing imagery through post processing to minimize the effects of blooming and maximize the value of remaining image content is proposed. Also proposed is a control method to actively control both IR and EO cameras to maximize the dynamic range of the sensors and capture more information from the scene. BENEFIT: The proposed mitigation techniques will result in algorithms which will maximize image content under conditions including but not limited to saturation. These methods will first be targeted toward post processing software but will later be targeted at real-time applications. These methods will be packaged such that they may be embedded directly into the sensors or as a separate control and processing unit.

* information listed above is at the time of submission.

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