Single Image Dehazing
We want to tackle the image/video pipeline across the board. Starting from the image capturing step, we focus on restoration applications that aim to recover the lost visual information due to poor acquisition conditions. Our work centers around the task of Single Image Dehazing which deals with recovering the scene information from images that have been affected by atmospheric haze.
Over the last few years, wildfires in the forests of Cyprus have increased dramatically at an average of 150 wildfires every year. To overcome this issue, we developed an object detection approach based on the state-of-the-art deep learning model YOLO version 7. The model was trained to detect early-stage smoke from any distance in an RGB camera video stream input captured by unmanned aerial vehicles.