DocumentCode
2156063
Title
On the effectiveness of the Dark Channel Prior for single image dehazing by approximating with minimum volume ellipsoids
Author
Gibson, Kristofor B. ; Nguyen, Truong Q.
Author_Institution
Electr. & Comput. Eng. Dept., Univ. of California San Diego, La Jolla, CA, USA
fYear
2011
fDate
22-27 May 2011
Firstpage
1253
Lastpage
1256
Abstract
There is an increasing number of methods for removing haze and fog from a single image. One of such methods is Dark Channel Prior (DCP). The goal of this paper is to develop a mathematical explanation on why DCP works well by using principal component analysis, and minimum volume ellipsoid approximations.
Keywords
approximation theory; fog; image enhancement; principal component analysis; contrast enhancement; dark channel prior method; fog removal; haze removal; minimum volume ellipsoid approximations; principal component analysis; single image dehazing; Approximation methods; Computer vision; Conferences; Ellipsoids; Image color analysis; Principal component analysis; Scattering; Contrast enhancement; Dehazing; Minimum volume ellipsoid;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location
Prague
ISSN
1520-6149
Print_ISBN
978-1-4577-0538-0
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2011.5946638
Filename
5946638
Link To Document