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Multiresolution in astronomical image processing: A general framework
Author(s) -
Murtagh Fionn,
Starck JeanLuc,
Bijaoui Albert
Publication year - 1995
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.1850060406
Subject(s) - computer science , image processing , computer vision , wavelet , image (mathematics) , multiresolution analysis , image compression , artificial intelligence , wavelet transform , visualization , range (aeronautics) , noise (video) , object (grammar) , image restoration , filter (signal processing) , point (geometry) , mathematics , discrete wavelet transform , materials science , geometry , composite material
Multiresolution transforms, including a wavelet transform, are applied simage visualization, image restoration, filtering and compression, × object detection. Variance stabilization is used, when appropriate, cater for common astronomical image noise models. We discuss idation of such methods in the case of astronomical image processing. A range of examples illustrate the effectiveness of this aproach in handling point source and extended astronomical objects.