With information and scale as central themes, this comprehensive survey explains how to
handle real problems in astronomical data analysis using a modern arsenal of powerful …

We have developed a method for the linear reconstruction of an image from undersampled,
dithered data. The algorithm, known as Variable‐Pixel Linear Reconstruction, or informally …

Astronomical images obtained with adaptive optics systems can be enhanced by using
image restoration techniques. However, this usually requires an accurate knowledge of the …

This article reviews pixon‐based image reconstruction, which in its current formulation uses
a multiresolution language to quantify an image's algorithmic information content (AIC) using …

When preparing an article on image restoration in astronomy, it is obvious that some topics
have to be dropped to keep the work at reasonable length. We have decided to concentrate …

The Hubble Space Telescope's mission is summarized, with special emphasis placed on the
Space Telescope Science Institute's unique experience with Hubble's behavior as an …

The photometric properties of the nucleus of Comet 9P/Tempel 1 are studied from the disk-
resolved color images obtained by Deep Impact (DI). Comet Tempel 1 has typical …

The authors present a method that combines region growing and edge detection for
magnetic resonance (MR) brain image segmentation. Starting with a simple region growing …

In this paper we present a method based on image deconvolution to improve the detection
of space debris, mainly in the geostationary ring. Among the deconvolution methods we …

We present results of concurrent maximum-likelihood restoration implementations with a
spatially variant point-spread function (SV-PSF) on both synthetic and real data sets from the …