Automatic noise estimation from the multiresolution support

Jean Luc Starck, Fionn Murtagh

Research output: Contribution to journalArticle

68 Citations (Scopus)

Abstract

We describe an automated approach for determining the noise associated with astronomical images. Detector noise is ever present and must be determined for high-quality image filtering or compression. We also show that the method can be used for very high quality cosmic-ray hit removal. Our method is based on a multiresolution transform of the image, the à trous wavelet transform. We present a range of examples and applications to illustrate the effectiveness of this approach.

Original languageEnglish
Pages (from-to)193-199
Number of pages7
JournalPublications of the Astronomical Society of the Pacific
Volume110
Issue number744
DOIs
Publication statusPublished - 1 Jan 1998
Externally publishedYes

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transform
cosmic ray
wavelet
compression
wavelet analysis
cosmic rays
detectors
method
detector
image filtering
removal

Cite this

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abstract = "We describe an automated approach for determining the noise associated with astronomical images. Detector noise is ever present and must be determined for high-quality image filtering or compression. We also show that the method can be used for very high quality cosmic-ray hit removal. Our method is based on a multiresolution transform of the image, the {\`a} trous wavelet transform. We present a range of examples and applications to illustrate the effectiveness of this approach.",
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Automatic noise estimation from the multiresolution support. / Starck, Jean Luc; Murtagh, Fionn.

In: Publications of the Astronomical Society of the Pacific, Vol. 110, No. 744, 01.01.1998, p. 193-199.

Research output: Contribution to journalArticle

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