Title
Artifact Removal for GLS Map Makers by Means of Post-Processing
Abstract
The quality of astrophysical images produced by means of the Generalised Least Square (GLS) approach may be degraded by the presence of artificial structures, obviously not present in the sky. This problem affects in different degrees all images produced by the instruments onboard the European Space Agency (ESA) Herschel satellite. In this paper we analyse these artifacts and introduce a method to remove them. The method is based on a post-processing of GLS image that estimates and removes the artifacts subtracting them from the original image. We find that the only drawback of this method is a slight increase of the background noise which, however, can be mitigated by detecting the artifacts and by performing the subtraction only where they are detected. The efficiency of the approach is demonstrated and quantified using simulated and real data.
Year
DOI
Venue
2012
10.1109/TIP.2012.2197009
IEEE Transactions on Image Processing
Keywords
Field
DocType
artificial satellites,astronomy computing,image processing,infrared imaging,European Space Agency,GLS approach,GLS map makers,Herschel satellite,artifact detection,artifact removal,artificial structures,astrophysical image quality,background noise,generalized least square,post-processing,real data,simulated data,Astrophysics,infrared imaging,least squares methods,map making
Least squares,Computer vision,Satellite,Background noise,Pattern recognition,Image processing,Sky,Artificial intelligence,Subtraction,Mathematics
Journal
Volume
Issue
ISSN
21
8
1057-7149
Citations 
PageRank 
References 
3
0.57
0
Authors
4
Name
Order
Citations
PageRank
Lorenzo Piazzo119520.32
Ikhenaode, D.230.57
Natoli, P.330.57
Pestalozzi, M.430.57