A combined approach for object detection and deconvolution

J. L. Starck, A. Bijaoui, I. Valtchanov, F. Murtagh

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

The Multiscale Vision Model is a recent object detection method, based on the wavelet transform. It allows us to extract all objects contained in an image, whatever their size or their shape. From each extracted object, information concerning flux or shape can easily be determined. We show that such an approach can be combined with deconvolution, leading to the reconstruction of deconvolved objects. We discuss the advantages of this approach, such as how we can perform deconvolution with a space-variant point spread function. We present a range of examples and applications, in the framework of the ISO, XMM and other projects, to illustrate the effectiveness of this approach.

LanguageEnglish
Pages139-149
Number of pages11
JournalAstronomy and Astrophysics Supplement Series
Volume147
Issue number1
DOIs
Publication statusPublished - 2 Nov 2000
Externally publishedYes

Fingerprint

deconvolution
XMM-Newton telescope
point spread functions
wavelet analysis
detection method
wavelet
transform
detection

Cite this

Starck, J. L. ; Bijaoui, A. ; Valtchanov, I. ; Murtagh, F. / A combined approach for object detection and deconvolution. In: Astronomy and Astrophysics Supplement Series. 2000 ; Vol. 147, No. 1. pp. 139-149.
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A combined approach for object detection and deconvolution. / Starck, J. L.; Bijaoui, A.; Valtchanov, I.; Murtagh, F.

In: Astronomy and Astrophysics Supplement Series, Vol. 147, No. 1, 02.11.2000, p. 139-149.

Research output: Contribution to journalArticle

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