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dc.contributor.advisorTherrien, Charles W.
dc.contributor.authorScrofani, James William
dc.dateJune 1997
dc.date.accessioned2012-08-09T19:16:50Z
dc.date.available2012-08-09T19:16:50Z
dc.date.issued1997-06
dc.identifier.urihttp://hdl.handle.net/10945/7856
dc.descriptionApproved for public release; Distribution is unlimiteden_US
dc.description.abstractNight vision sensors, such as image-intensifier (II) tubes in night vision goggles and forward looking infrared sensors (FLIR) are routinely used by U.S. naval personnel for night operations. The quality of imagery from these devices however, can be extremely poor. Since these sensors exploit different regions of the electromagnetic spectrum, the information they provide is often complimentary, and therefore, improvements are possible with the enhancement and subsequent fusion of this information into a single presentation. Such processing can maximize scene content by incorporating information from both images as well as increase contrast and dynamic range. This thesis introduces a new algorithm, which produces such an enhanced/fused image. It performs adaptive enhancement of both the low-light visible (II) and thermal infrared imagery (IR) inputs, followed by a data fusion for combining the two images into a composite image. The methodology for visual testing of the algorithm for comparison of fused and original II and IR imagery is also presented and a discussion of the results is included. Tests confirmed that the fusion algorithm resulted in significant improvement over either single-band imageen_US
dc.description.urihttp://archive.org/details/adaptivemethodfo00scro
dc.language.isoeng
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.titleAn adaptive method for the enhanced fusion of low-light visible and uncooled thermal infrared imageryen_US
dc.contributor.secondreaderKrebs, William K.
dc.contributor.departmentElectrical Engineering
dc.subject.authorEnhancementen_US
dc.subject.authorFusionen_US
dc.subject.authorImageryen_US
dc.subject.authorInfrareden_US
dc.subject.authorLow-light Visibleen_US
dc.subject.authorNight Visionen_US
dc.subject.authorSensor Fusionen_US
dc.subject.authorFLIRen_US
dc.subject.authorNVGen_US
dc.subject.authorPeli-Lim Algorithmen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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