Thermal image colorization using Markov decision processes

Abstract

Displaying night-vision thermal imageswith daytime colors is paramount for scene interpretation and target tracking. In this paper, we employ object recognition methods for colorization, which amounts to segmenting thermal images into plants, buildings, sky, water, roads and others, then calculating colors to each class. The main thrust of our work is the… (More)
DOI: 10.1007/s12293-016-0193-2

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Cite this paper

@article{Gu2017ThermalIC, title={Thermal image colorization using Markov decision processes}, author={Xiaojing Gu and Mengchi He and Xingsheng Gu}, journal={Memetic Computing}, year={2017}, volume={9}, pages={15-22} }