SBIR/STTR Research Award

Mitigating Sensor Saturation through Image Processing Techniques

Award identifier afcb73014bf998b356dc1d99536fe155a662e79b2643e3606157578675d71dffAwarding agency Department of Defense · Air Force

Award amount

$1,199,497

Program and phase

SBIR · Phase II

Award year

2014

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
THERMOANALYTICS, INC.
Proposal award date
2014-05-29
Contract end date
2017-08-28
UEI
W1XGW9YPELM6
Solicitation number
2013.1
Topic code
AF131-121

Research abstract

ABSTRACT:The objective of this SBIR research effort is to investigate algorithms for mitigation of sensor saturation, including the effects of laser dazzlers,in mid-wave infrared (MWIR) cameras using advanced image-processing techniques.The optical irradiance present in dazzled imagery spans several orders of magnitude more than conventional MWIR focal planes can reproduce. The large variation in irradiance is manifested in the imagery as severely under-exposed and over-exposed regions of the captured image as well as artifacts due to the scattering of rays within the imaging device.Image processing based solutions offer the potential for dazzler mitigation without prior knowledge of any dazzler characteristics and offer an alternative solution in applications where the addition of optical filters to the collection device is impractical or undesirable.Our approach employs High-Dynamic-Range image processing to combine multiple frames of varying exposure in a statistically rigorous manner in order to capture information in both low and high-light regions, and maximize the information content in a single image.In addition, a two step pre-processing scheme is utilized to separate and remove dynamic (lens flare) as well as static (main beam) contributions from the corrupting high energy source.BENEFIT:There will be immediate benefits in military applications of this technology to surveillance, reconnaissance, and target acquisition and tracking. For example, this technology may be used to mitigate saturation effects of directed energy laser dazzlers on guided missile electro-optics. Since methods developed in this project will not be specific to the MWIR band, they may be more generally applied over the visible to LWIR range of imaging devices. Programmable consumer digital cameras in the visible band could eventually be controlled with these algorithms, presenting a large market for this technology. Multiple frames with exposure times covering the full dynamic range of intensities would be automatically taken, with a composite HDR image then constructed from these frames. Lens flare due to reflections internal to the camera would also be reduced using the methods devised here.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

59 SBIR/STTR records share this UEI (1997–2025). Reported award amounts total $22,129,177. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy

Agency intelligence

Department of Defense

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