IMAGE-RECONSTRUCTION FROM INCOMPLETE AND NOISY DATA
IMAGE-RECONSTRUCTION FROM INCOMPLETE AND NOISY DATA
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DOI：
10.1038/272686a0
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发表时间：
1978-01-01
期刊：
影响因子：
64.8
通讯作者：
DANIELL, GJ
中科院分区：
文献类型：
--
作者：
GULL, SF;DANIELL, GJ
结果提出了一个强大的技术，图像重建的最大熵方法，这是足够快，是有用的大型和复杂的图像。虽然我们的例子是从无线电和X射线天文学领域，该技术是立即适用于光谱学，电子显微镜，X射线晶体学，光物理学和几乎任何类型的光学图像处理。应用于射电天文数据，该算法揭示了传统分析看不到的细节，但已知存在。
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 our 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.