A combined approach for object detection and deconvolution

Details A combined approach for object detection and deconvolution A combined approach for object detection and deconvolution

Nov 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000a%26as..147..139s&link_type=abstract

Astronomy and Astrophysics Supplement, v.147, p.139-149

Astronomy and Astrophysics

Astrophysics

4

Methods: Data Analysis, Techniques: Image Processing

Scientific paper

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.

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