An Adaptive Technique for the Enhanced Fusion of Low-Light Visible with Uncooled Thermal Infrared Imagery

Abstract

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 lowpass/ 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.