Sorry, you need to enable JavaScript to visit this website.

denoising

An Efficient Haze Removal Algorithm for Video Sequence Using Chromatic Properties


Heavy fog degrades the quality of road images in losing contrast and color fidelity, which may cause errors in stereo matching and road segmentation for advanced driver assistance systems (ADAS). Accident rates can be reduced if robust and efficient algorithms are applied for fog removal. Most studies have been conducted on this subject to date, but existing methods are not suitable for heavy haze conditions. Local darkness, under-estimation and over enhancement are always occurred after dehazing.

Paper Details

Authors:
Submitted On:
7 September 2017 - 10:49pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

haze removal

(129 downloads)

Keywords

Additional Categories

Subscribe

[1] , "An Efficient Haze Removal Algorithm for Video Sequence Using Chromatic Properties", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1859. Accessed: Oct. 15, 2018.
@article{1859-17,
url = {http://sigport.org/1859},
author = { },
publisher = {IEEE SigPort},
title = {An Efficient Haze Removal Algorithm for Video Sequence Using Chromatic Properties},
year = {2017} }
TY - EJOUR
T1 - An Efficient Haze Removal Algorithm for Video Sequence Using Chromatic Properties
AU -
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1859
ER -
. (2017). An Efficient Haze Removal Algorithm for Video Sequence Using Chromatic Properties. IEEE SigPort. http://sigport.org/1859
, 2017. An Efficient Haze Removal Algorithm for Video Sequence Using Chromatic Properties. Available at: http://sigport.org/1859.
. (2017). "An Efficient Haze Removal Algorithm for Video Sequence Using Chromatic Properties." Web.
1. . An Efficient Haze Removal Algorithm for Video Sequence Using Chromatic Properties [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1859