Abstract
Results are presented of a powerful technique for image reconstruction by a maximum entropy method, which is sufficiently fast to be useful for large and complicated images. Although the examples are taken from the fields of radio and X-ray astronomy, the technique is immediately applicable in spectroscopy, electron microscopy, X-ray crystallography, geophysics and virtually any type of optical image processing. Applied to radioastronomical data the algorithm reveals details not seen by conventional analysis, but which are known to exist.
Citation Formats
Gull, S F, and Daniell, G J.
Image reconstruction from incomplete and noisy data.
United Kingdom: N. p.,
1978.
Web.
Gull, S F, & Daniell, G J.
Image reconstruction from incomplete and noisy data.
United Kingdom.
Gull, S F, and Daniell, G J.
1978.
"Image reconstruction from incomplete and noisy data."
United Kingdom.
@misc{etde_6581753,
title = {Image reconstruction from incomplete and noisy data}
author = {Gull, S F, and Daniell, G J}
abstractNote = {Results are presented of a powerful technique for image reconstruction by a maximum entropy method, which is sufficiently fast to be useful for large and complicated images. Although the examples are taken from the fields of radio and X-ray astronomy, the technique is immediately applicable in spectroscopy, electron microscopy, X-ray crystallography, geophysics and virtually any type of optical image processing. Applied to radioastronomical data the algorithm reveals details not seen by conventional analysis, but which are known to exist.}
journal = []
volume = {272:5655}
journal type = {AC}
place = {United Kingdom}
year = {1978}
month = {Apr}
}
title = {Image reconstruction from incomplete and noisy data}
author = {Gull, S F, and Daniell, G J}
abstractNote = {Results are presented of a powerful technique for image reconstruction by a maximum entropy method, which is sufficiently fast to be useful for large and complicated images. Although the examples are taken from the fields of radio and X-ray astronomy, the technique is immediately applicable in spectroscopy, electron microscopy, X-ray crystallography, geophysics and virtually any type of optical image processing. Applied to radioastronomical data the algorithm reveals details not seen by conventional analysis, but which are known to exist.}
journal = []
volume = {272:5655}
journal type = {AC}
place = {United Kingdom}
year = {1978}
month = {Apr}
}