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Deconvolution in astronomy: A review
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DOI：10.1086/342606.png)
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摘要
En 中文
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.
Keyword:
SPARSE SPIKE TRAINS
IMAGE-RESTORATION
MAXIMUM-ENTROPY
WAVELET TRANSFORM
ADAPTIVE OPTICS
EDGE-DETECTION
MU-M
REGULARIZATION
RECONSTRUCTION
RESOLUTION
期刊
IF:
7.7
论文数:
4.0K
被引数:
1.8W
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