Multiresolution in astronomical image processing: A general framework

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

doi:10.1002/ima.1850060406

Multiresolution in astronomical image processing: A general framework

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

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	332-338
Number of pages	7
Journal	International Journal of Imaging Systems and Technology
Volume	6
Issue number	4
DOIs	https://doi.org/10.1002/ima.1850060406
Publication status	Published - Dec 1995
Externally published	Yes

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title = "Multiresolution in astronomical image processing: A general framework",

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.",

keywords = "Algorithms, Astonomy, Image analysis, Image compression, Image enhancement, Image reconstruction, Mathematical models, Object recognition, Space applications, Spurious signal noise, Visualization, Wavelet transforms",

author = "Fionn Murtagh and Starck, {Jean‐Luc ‐L} and Albert Bijaoui",

year = "1995",

month = dec,

doi = "10.1002/ima.1850060406",

language = "English",

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journal = "International Journal of Imaging Systems and Technology",

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T2 - A general framework

AU - Murtagh, Fionn

AU - Starck, Jean‐Luc ‐L

AU - Bijaoui, Albert

PY - 1995/12

Y1 - 1995/12

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AB - 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.

KW - Algorithms

KW - Astonomy

KW - Image analysis

KW - Image compression

KW - Image enhancement

KW - Image reconstruction

KW - Mathematical models

KW - Object recognition

KW - Space applications

KW - Spurious signal noise

KW - Visualization

KW - Wavelet transforms

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DO - 10.1002/ima.1850060406

M3 - Article

AN - SCOPUS:0029485095

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SP - 332

EP - 338

JO - International Journal of Imaging Systems and Technology

JF - International Journal of Imaging Systems and Technology

IS - 4

ER -

Multiresolution in astronomical image processing: A general framework

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