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035   $ab1308740x-39ule_inst
035   $aARCHE-104001$9ExL
040   $aBiblioteca Interfacoltà$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.
082 04$a170
100 1 $aBaumann, Émile$0390271
245 10$aBossuet moraliste /$ctextes choisis et commentès par Émile Baumann
260   $aParis :$bB. Grasset,$cc1932
300   $aXIX, 387 p. ;$c19 cm
600 14$aBossuet, Jacques Benigne
650  4$aMorale
907   $a.b1308740x$b02-04-14$c05-08-04
912   $a991003526959707536
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LEADER 01726nam  2200445z- 450 
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035   $a(CKB)4920000000100845
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41925
035   $a(oapen)doab41925
035   $a(EXLCZ)994920000000100845
100   $a20202102d2017      |y         0
101 0 $ager
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aBeitrag zur Unterwasserbildrestauration
210   $cKIT Scientific Publishing$d2017
215   $a1 online resource (XX, 210 p. p.)
225 1 $aSchriftenreihe Automatische Sichtprüfung und Bildverarbeitung
311 08$a3-7315-0579-7 
330   $aUnderwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradation processes. Hence, it is possible to enhance image quality with model knowledge under different image acquisition conditions.
610   $aBildgewinnung
610   $aBildrestauration
610   $aBildverbesserung
610   $adata retrieval
610   $aimage enhancement
610   $aimage restoration
610   $aModelierung
610   $amodeling
610   $asignal processing
610   $aSignalverarbeitung
610   $aUnterwasser
700   $aStephan$b Thomas$4auth$0417262
906   $aBOOK
912   $a9910346767803321
996   $aBeitrag zur Unterwasserbildrestauration$93029634
997   $aUNINA