Multiresolution in astronomical image processing: A general framework

Fionn Murtagh, Jean‐Luc ‐L Starck, Albert Bijaoui

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)332-338
Number of pages7
JournalInternational Journal of Imaging Systems and Technology
Volume6
Issue number4
DOIs
Publication statusPublished - Dec 1995
Externally publishedYes

Fingerprint Dive into the research topics of 'Multiresolution in astronomical image processing: A general framework'. Together they form a unique fingerprint.

  • Cite this