Paper Info
Title
A review on dark channel prior based image dehazing algorithms.
Abstract
The presence of haze in the atmosphere degrades the quality of images captured by visible camera sensors. The removal of haze, called dehazing, is typically performed under the physical degradation model, which necessitates a solution of an ill-posed inverse problem. To relieve the difficulty of the inverse problem, a novel prior called dark channel prior (DCP) was recently proposed and has received a great deal of attention. The DCP is derived from the characteristic of natural outdoor images that the intensity value of at least one color channel within a local window is close to zero. Based on the DCP, the dehazing is accomplished through four major steps: atmospheric light estimation, transmission map estimation, transmission map refinement, and image reconstruction. This four-step dehazing process makes it possible to provide a step-by-step approach to the complex solution of the ill-posed inverse problem. This also enables us to shed light on the systematic contributions of recent researches related to the DCP for each step of the dehazing process. Our detailed survey and experimental analysis on DCP-based methods will help readers understand the effectiveness of the individual step of the dehazing process and will facilitate development of advanced dehazing algorithms.
Year
DOI
Venue
2016
10.1186/s13640-016-0104-y
EURASIP J. Image and Video Processing
Keywords
Field
DocType
Dark channel prior, Dehazing, Image degradation, Image restoration
Iterative reconstruction,Computer vision,Image degradation,Image sensor,Computer science,Communication channel,Algorithm,Inverse problem,Artificial intelligence,Image restoration,Channel (digital image)
Journal
Volume
Issue
ISSN
2016
1
1687-5281
Citations 
PageRank 
References 
24
0.93
25
Authors
5
Name
Order
Citations
PageRank
Sungmin Lee1240.93
Seok Min Yun2292.38
Ju-Hun Nam3272.36
Chee Sun Won457387.74
Seung-Won Jung517614.68