Real-Time Automatic Enhancement of Corrupted Video

Period of Performance: 10/23/2000 - 04/23/2001

$70K

Phase 1 SBIR

Recipient Firm

Scientific Systems Company, Inc.
500 West Cummings Park Array
Woburn, MA 01801
Principal Investigator

Abstract

Commercial and military communication systems arefaced with the need to perform critical tasks based on the use oftransmitted (or hard-lined) video. Military examples include theuse of video to perform stand-off targeting, autonomous targetrecognition (ATR), and operator-assisted terminal guidance of amissile. For example, in the SLAM-ER when the infrared seeker is activated, it sends a video image to thepilot who selects a specific aimpoint on the target. The pilot then locks on to the target, and the missile makes an autonomous precision strike.However, due to the effects of turbulence, multipath, rain, lowsignal-to-noise, restricted bandwidth, electromagnetic interference,countermeasures, and/or other degrading phenomena this video iscorrupted. Thus, the quality of the video becomes important andreal-time autonomouscorrections becomes necessary. Any improvement to the video will make iteasier to place the seeker crosshairs on the target aimpoint.The objective of this project (Phases I and II) is todesign and demonstrate real-time automatic videoenhancement and image restorationtechniques that substantially mitigate the corrupting effectsfor SLAM-ER IR video.The proposal team is composed of Scientific Systems Company Inc (SSCI)and the Advanced Video Systems group at the Sarnoff Corporation.Also, in order to effectively transition these efforts to the SLAM-ERplatform, we are developing a relationship with the SLAM-ER group atThe Boeing Company in St. Charles, MO.The development of the above core technologies in video enhancementand image restoration will serve as a foundation for Phase IIIcommercialization. Commercial application of this technology exist inseveral areas such as: medical screening and diagnosis, remotesensing, road and bridge inspection, and buried waste detection.