文章基本信息

标题：A Research on Single Image Dehazing Algorithms Based on Dark Channel Prior
本地全文：下载
作者：Ebtesam Mohameed Alharbi ; Peng Ge ; Hong Wang 等
期刊名称：Journal of Computer and Communications
印刷版ISSN：2327-5219
电子版ISSN：2327-5227
出版年度：2016
卷号：04
期号：02
页码：47-55
DOI：10.4236/jcc.2016.42006
语种：English
出版社：Scientific Research Publishing
摘要：In the field of computer and machine vision, haze and fog lead to image degradation through various degradation mechanisms including but not limited to contrast attenuation, blurring and pixel distortions. This limits the efficiency of machine vision systems such as video surveillance, target tracking and recognition. Various single image dark channel dehazing algorithms have aimed to tackle the problem of image hazing in a fast and efficient manner. Such algorithms rely upon the dark channel prior theory towards the estimation of the atmospheric light which offers itself as a crucial parameter towards dehazing. This paper studies the state-of-the-art in this area and puts forwards their strengths and weaknesses. Through experiments the efficiencies and shortcomings of these algorithms are shared. This information is essential for researchers and developers in providing a reference for the development of applications and future of the research field.
关键词：Image Dehazing;Dark Channel