Astronomical Image Compression Based on Noise Suppression

Jean Luc Starck, Fionn Murtagh, Benoît Pirenne, Miguel Albrecht

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)


We review methods which are widely used for compression of astronomical images. These include multiresolution approaches. We use such an approach, a pyramidal median transform, which is followed by noise suppression at each resolution scale. To preserve photometric and astrometric fidelity to the input image, a multiresolution astronomical-object support is used. We discuss the common astronomical noise models (additive Poisson, Gaussian, and Poisson plus Gaussian). A range of examples on digitized plate, and on CCD, image data is used to show the effectiveness of this approach.

Original languageEnglish
Pages (from-to)446-455
Number of pages10
JournalPublications of the Astronomical Society of the Pacific
Issue number723
Publication statusPublished - 1 May 1996
Externally publishedYes


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