文章基本信息

标题：Dehaze Enhancement Algorithm Based on Retinex Theory for Aerial Images Combined with Dark Channel
本地全文：下载
作者：Xinggang Liu ; Changjiang Liu ; Hengyou Lan 等
期刊名称：Open Access Library Journal
印刷版ISSN：2333-9705
电子版ISSN：2333-9721
出版年度：2020
卷号：7
期号：4
页码：1-12
DOI：10.4236/oalib.1106280
语种：English
出版社：Scientific Research Pub
摘要：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.
关键词：Image Dehazing;Aerial Image;Retinex Algorithm Model;Atmospheric Scattering Model;Dark Channel Dehazing