An adaptive technique for the enhanced fusion of low-light visible with uncooled thermal infrared imagery

A new algorithm is introduced that performs spatially adaptive enhancement on low-light visible and infrared images of the same scene and fusion of these into one composite image. The algorithm involves low-pass/high-pass filtering and simple nonlinear operations that can be table driven. Examples of the processing on image data collected in field tests are given.