Real-Time Image Restoration for Image Enhancement and an Increased Target Acquisition Range

The U.S. Army has expressed a need for improved real-time target acquisition capabilities of strategic systems for tactical applications such as battlefield data collection, reconnaissance, and search and rescue operations. To address this need,Intelligent Optical Systems (IOS) proposes to develop a super-resolution processor module that will greatly improve the imagery of third-generation, forward-looking infrared (FLIR) sensor systems. The IOS Super-Resolution (SuRe) processor will be adigital signal processor (DSP) chip that will implement a state-of-the-art restoration and super-resolution algorithm in real time. The processor will significantly extend the range of third-generation FLIR sensors, significantly increasing theircapabilities for target surveillance and tracking. An image restoration algorithm capable of processing the output of a staring, focal-plane array with a time delay of less than two frames will be demonstrated during Phase I. During the project, IOS willconduct market analysis and identify financial and other support to ensure the successful commercialization of the SuRe processor.The ability of the SuRe processor to function in real time and its significant benefits in size, weight, and cost will make itextremely competitive in many areas where the enhancement of acquired imagery data is desired.In addition to greatly enhancing the target surveillance and tracking capabilities of military sensors, the SuRe processor will be beneficial in non-militaryapplications such as: air traffic control (landing aids and runaway monitoring); improved video cameras for surveillance and security applications; enhanced imagery devices for industrial product inspections and quality control; and numerous civilianairborne-surveillance tasks such as crop and forest monitoring, and the monitoring of land-use.