Image Quality Enhancement with Applications to Unmanned Aerial Vehicle Obstacle Detection

Image Quality Enhancement with Applications to Unmanned Aerial Vehicle Obstacle Detection

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 mat...

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Bibliographic Details
Main Authors: Zhaoyang Wang, Dan Zhao, Yunfeng Cao
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Aerospace
Subjects:
unmanned aerial vehicle
obstacle avoidance
image enhancement
Retinex theory
camera response model
Online Access:https://www.mdpi.com/2226-4310/9/12/829

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