TITLE:
Dehaze Enhancement Algorithm Based on Retinex Theory for Aerial Images Combined with Dark Channel
AUTHORS:
Xinggang Liu, Changjiang Liu, Hengyou Lan, Li Xie
KEYWORDS:
Image Dehazing, Aerial Image, Retinex Algorithm Model, Atmospheric Scattering Model, Dark Channel Dehazing
JOURNAL NAME:
Open Access Library Journal,
Vol.7 No.4,
April
22,
2020
ABSTRACT: In order to improve the visual effect of aerial images in foggy weather, a Retinex defogging algorithm combining dark channel priors is proposed to solve the phenomenon of insufficient defogging and over-enhancement of aerial defogging in Reinex defogging. First, the foggy original image is decomposed into foggy incident light components and foggy reflected light components by Retinex theory. Then, the principle of foggy image degradation is analyzed by an atmospheric scattering model, and the dark channel prior defogging algorithm is used to obtain the incident light component and reflected light component after defogging. Finally, a fog-free image was restored through the Reitnex model. The effectiveness of this algorithm is verified through experiments. By comparing and analyzing this algorithm with other defogging algorithms, this algorithm has higher contrast and color fidelity.