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In this paper we devise robust and reliable image enhancement algorithms for far infra-red images. The algorithms are based upon a model of the imaging process. The model that we develop is qualitative due to the unpredictable nature of the scenes. The model predicts that an idealized for infra-red image consists of piecewise-constant patches. On the basis of this model and models of the degrading factors we then apply two known algorithms: median filtering and spatial homomorphic filtering. In order to speed up the enhancement we extend our model temporally and develop a new algorithm: spatio-temporal homomorphic filtering. The paper ends with an attempt to convert the far infra-red images taken at night to visible daylight images.


Conference paper

Publication Date



40 - 47