The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Deconvolution in Astronomy: A Review
Open accessAbstract
This article reviews different deconvolution methods. The all‐pervasive presence of noise is what makes deconvolution particularly difficult. The diversity of resulting algorithms reflects different ways of estimating the true signal under various idealizations of its properties. Different ways of approaching signal recovery are based on different instrumental noise models, whether the astronomical objects are pointlike or extended, and indeed on the computational resources available to the analyst. We present a number of recent results in this survey of signal restoration, including in the areas of superresolution and dithering. In particular, we show that most recent published work has consisted of incorporating some form of multiresolution in the deconvolution process.
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Cites
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Cited by
DeconvolutionLab2: An open-source software for deconvolution microscopy
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Multiscale CLEAN Deconvolution of Radio Synthesis Images
Cornwell, T. J. (2008) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2008.2006388 · Cited by 512
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Learning to denoise astronomical images with U-nets
Vojtekova, A., Lieu, M., Valtchanov, I., Altieri, B., Old, L., Chen, Q., & Hroch, F. (2021) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa3567 · Cited by 63
Metadata
- Authors
- Starck, J. L., Pantin, E., & Murtagh, F.
- Venue
- Publications of the Astronomical Society of the Pacific
- Publisher
- IOP Publishing
- Published
- 2002-10
- Volume
- 114
- Issue
- 800
- Pages
- 1051-1069
- ISSN
- 0004-6280 (ISSN-L)
- 1538-3873
- OpenAlex
- W2011687187
- Cited by
- 431
- References
- 43
- FWCI
- 12.36
- Type
- journal article
- Language
- en
- Open access
- bronze
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