2022
DOI: 10.3390/aerospace9120829
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Image Quality Enhancement with Applications to Unmanned Aerial Vehicle Obstacle Detection

Abstract: Aiming at the problem that obstacle avoidance of unmanned aerial vehicles (UAVs) cannot effectively detect obstacles under low illumination, this research proposes an enhancement algorithm for low-light airborne images, which is based on the camera response model and Retinex theory. Firstly, the mathematical model of low-illumination image enhancement is established, and the relationship between the camera response function (CRF) and brightness transfer function (BTF) is constructed by a common parameter equat… Show more

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