<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
     <records>
	  <record>
	       <dc:title>Image reconstruction from incomplete and noisy data</dc:title>
	       <dc:creator>Gull, S F; Daniell, G J [Mullard Radio Astronomy Observatory, Cambridge (UK). Cavendish Lab.]</dc:creator>
	       <dc:subject>71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; IMAGE PROCESSING; ALGORITHMS; RADIOASTRONOMY; COSMIC RADIATION; COSMIC RADIO SOURCES; COSMIC X-RAY SOURCES; CRYSTALLOGRAPHY; ELECTRON MICROSCOPY; ENTROPY; SPECTROSCOPY; ASTRONOMY; COSMIC RAY SOURCES; IONIZING RADIATIONS; MATHEMATICAL LOGIC; MICROSCOPY; PHYSICAL PROPERTIES; RADIATIONS; THERMODYNAMIC PROPERTIES; 640103* - Astrophysics & Cosmology- Quasi-Stellar, Radio, & X-Ray Sources- (-1987)</dc:subject>
	       <dc:subjectRelated></dc:subjectRelated>
	       <dc:description>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.</dc:description>
	       <dcq:publisher></dcq:publisher>
	       <dcq:publisherResearch></dcq:publisherResearch>
	       <dcq:publisherAvailability></dcq:publisherAvailability>
	       <dcq:publisherSponsor></dcq:publisherSponsor>
	       <dcq:publisherCountry>United Kingdom</dcq:publisherCountry>
		   <dc:contributingOrganizations></dc:contributingOrganizations>
	       <dc:date>1978-04-20</dc:date>
	       <dc:language>English</dc:language>
	       <dc:type>Journal Article</dc:type>
	       <dcq:typeQualifier></dcq:typeQualifier>
	       <dc:relation>Journal Name: Nature (London); (United Kingdom); Journal Volume: 272:5655</dc:relation>
	       <dc:coverage></dc:coverage>
	       <dc:format>Medium: X; Size: Pages: 686-690</dc:format>
	       <dc:doi>https://doi.org/</dc:doi>
	       <dc:identifier></dc:identifier>
		   <dc:journalName>[]</dc:journalName>
		   <dc:journalIssue></dc:journalIssue>
		   <dc:journalVolume>272:5655</dc:journalVolume>
	       <dc:identifierReport></dc:identifierReport>
	       <dcq:identifierDOEcontract></dcq:identifierDOEcontract>
	       <dc:identifierOther>Journal ID: CODEN: NATUA</dc:identifierOther>
	       <dc:source>INIS; AIX-09-396858; EDB-79-015015</dc:source>
	       <dc:rights></dc:rights>
	       <dc:dateEntry>2010-12-30</dc:dateEntry>
	       <dc:dateAdded></dc:dateAdded>
	       <dc:ostiId>6581753</dc:ostiId>
	       <dcq:identifier-purl></dcq:identifier-purl>
	  </record>
     </records>
</rdf:RDF>