Image quality enhancement with applications to unmanned aerial vehicle obstacle detection avoidance

HIGHLIGHTS

  • who: Zhaoyang Wang and colleagues from the College of Astronautics, Nanjing University of Aeronautics and Astronautics, Jiangjun Street, Nanjing, China have published the paper: Image Quality Enhancement with Applications to Unmanned Aerial Vehicle Obstacle Detection avoidance, in the Journal: Aerospace 2022, 9, 829. of /2022/
  • what: Aiming at the problem that avoidance of unmanned 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 Firstly the mathematical model of low-illumination image enhancement is established and . . .

     

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