A combined approach for object detection and deconvolution
J. L. Starck, A. Bijaoui, I. Valtchanov, F. Murtagh;
AaAS, 2000, 147, 139
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.
KEYWORDS: methods: data analysis, techniques: image processing
CODE: starck2000