TITLE:
A Research on Single Image Dehazing Algorithms Based on Dark Channel Prior
AUTHORS:
Ebtesam Mohameed Alharbi, Peng Ge, Hong Wang
KEYWORDS:
Image Dehazing, Dark Channel
JOURNAL NAME:
Journal of Computer and Communications,
Vol.4 No.2,
February
25,
2016
ABSTRACT: 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.