Inverse optical imaging viewed as a backward channel communication problem (Articolo in rivista)

Type
Label
  • Inverse optical imaging viewed as a backward channel communication problem (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1364/JOSAA.26.001393 (literal)
Alternative label
  • De Micheli Enrico; Viano Giovanni Alberto (2009)
    Inverse optical imaging viewed as a backward channel communication problem
    in Journal of the Optical Society of America. A, Optics, image science, and vision.; Optical Society of America, New York (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • De Micheli Enrico; Viano Giovanni Alberto (literal)
Pagina inizio
  • 1393 (literal)
Pagina fine
  • 1402 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-26-6-1393 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 26 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 6 (literal)
Note
  • athematical Reviews on the web (MathSciNet) (literal)
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Biofisica, Consiglio Nazionale delle Ricerche, Genova, Italy - Dipartimento di Fisica, Universita' di Genova, Genova, Italy (literal)
Titolo
  • Inverse optical imaging viewed as a backward channel communication problem (literal)
Abstract
  • The inverse problem in optics, which is closely related to the classical question of the resolving power, is reconsidered as a communication channel problem. The main result is the evaluation of the maximum number M of -distinguishable messages ( being a bound on the noise of the image) that can be conveyed back from the image to reconstruct the object. We study the case of coherent illumination. By using the concept of Kolmogorov's -capacity, we obtain M ~2Slog(1/ )--> for -->0, where S is the Shannon number. Moreover, we show that the -capacity in inverse optical imaging is nearly equal to the amount of information on the object that is contained in the image. We thus compare the results obtained through the classical information theory--which is based on probability theory--with those derived from a form of topological information theory, based on the Kolmogorov -entropy and -capacity, which are concepts related to the evaluation of the massiveness of compact sets. (literal)
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