Research status and prospect of image dehazing algorithm

Zhang, D; Ju, M; Qian, W

Research status and prospect of image dehazing algorithm

Zhang, D Ju, M

Qian, W

Permalink

Publication Type:: Journal Article
Citation:: Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science), 2020, 40, (5), pp. 101-111
Issue Date:: 2020-10-01

Closed Access

	Filename	Description	Size
	17633843_5015164790005671.pdf	Published version	1.34 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Zhang, D
dc.contributor.author	Ju, M https://orcid.org/0000-0003-4378-3781
dc.contributor.author	Qian, W
dc.date.accessioned	2021-06-03T21:18:08Z
dc.date.available	2021-06-03T21:18:08Z
dc.date.issued	2020-10-01
dc.identifier.citation	Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science), 2020, 40, (5), pp. 101-111
dc.identifier.issn	1673-5439
dc.identifier.uri	http://hdl.handle.net/10453/149402
dc.description.abstract	Outdoor images taken in a hazy environment usually have negative features,such as blurred vision,low saturation and gray color, thus affecting the user's subjective experience,and brings a certain degree of the hidden error for subsequent intelligent system research and judgment.Firstly,the development of image defogging and its research status are summarized.Then,focusing on three different dehazing strategies,i.e.,traditional image enhancement,physical model dehazing,and deep learning model dehazing,the mainstream algorithms are analyzed and some common problems faced by current methods are summarized,such as incomplete haze removal,over-enhancement of the sky area,and over-saturation of the close-range,etc..Finally,aimed at these shortcomings or limitations,scientific research ideas and feasible suggestions are proposed.
dc.language	en
dc.relation.ispartof	Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science)
dc.relation.isbasedon	10.14132/j.cnki.1673-5439.2020.05.011
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Networking & Telecommunications
dc.title	Research status and prospect of image dehazing algorithm
dc.type	Journal Article
utslib.citation.volume	40
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2021-06-03T21:18:07Z
pubs.issue	5
pubs.publication-status	Published
pubs.volume	40
utslib.citation.issue	5

Abstract:

Outdoor images taken in a hazy environment usually have negative features,such as blurred vision,low saturation and gray color, thus affecting the user's subjective experience,and brings a certain degree of the hidden error for subsequent intelligent system research and judgment.Firstly,the development of image defogging and its research status are summarized.Then,focusing on three different dehazing strategies,i.e.,traditional image enhancement,physical model dehazing,and deep learning model dehazing,the mainstream algorithms are analyzed and some common problems faced by current methods are summarized,such as incomplete haze removal,over-enhancement of the sky area,and over-saturation of the close-range,etc..Finally,aimed at these shortcomings or limitations,scientific research ideas and feasible suggestions are proposed.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/149402