Title
Atmospheric-Turbulence-Degraded Astronomical Image Restoration by Minimizing Second-Order Central Moment.
Abstract
Atmospheric turbulence affects imaging systems by virtue of wave propagation through a medium with a nonuniform index of refraction. It can lead to blurring in images acquired from a long distance away. In this letter, it is observed that blurring increases the second-order central moment (SOCM) of images, and we introduce a new parametric blur identification method by minimizing SOCM. The method ...
Year
DOI
Venue
2012
10.1109/LGRS.2011.2178016
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Image restoration,PSNR,Noise measurement,Pattern recognition,Minimization,Atmospheric modeling
Computer vision,Noise measurement,Central moment,Wave propagation,Remote sensing,Turbulence,Atmospheric model,Parametric statistics,Minification,Artificial intelligence,Image restoration,Physics
Journal
Volume
Issue
ISSN
9
4
1545-598X
Citations 
PageRank 
References 
7
0.58
6
Authors
5
Name
Order
Citations
PageRank
Luxin Yan112316.97
Mingzhi Jin270.58
Houzhang Fang3394.80
Hai Liu470.58
Tianxu Zhang520623.18