Inhomogeneous illuminated image enhancement under extremely low visibility condition

arXiv:2404.17503v1 Announce Type: new
Abstract: Imaging through fog significantly impacts fields such as object detection and recognition. In conditions of extremely low visibility, essential image information can be obscured, rendering standard extraction methods ineffective. Traditional digital processing techniques, such as histogram stretching, aim to mitigate fog effects by enhancing object light contrast diminished by atmospheric scattering. However, these methods often experience reduce effectiveness under inhomogeneous illumination. This paper introduces a novel approach that adaptively filters background illumination under extremely low …

abstract aim arxiv cs.cv detection digital effects extraction fields image imaging impacts information light low object physics.optics processing recognition rendering standard through type visibility