Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203846694 ISBN 13: 9786203846690
Da: moluna, Greven, Germania
EUR 50,66
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203846694 ISBN 13: 9786203846690
Da: preigu, Osnabrück, Germania
EUR 53,25
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. SOFT COMPUTING TECHNIQUES FOR IMAGE RESTORATION | S. Vijaya Kumar (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203846690 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2021, 2021
ISBN 10: 6203846694 ISBN 13: 9786203846690
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 61,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image restoration is very crucial task to preserve the fine points of the image. One of the conflicts of the image restoration is impulse noise. Impulse noise is environmental noise it affects the image during the transmission, store of the image pixels in memory cell and hardware failures in capturing devices. In literature, many effective techniques are suggested to eliminate the impulse noise. But their execution is not great under moderate and high noise conditions. Hence, there is adequate scope to investigate and develop filters to eliminating he impulse noise at high noise densities. In this book, we address these issues by proposing five techniques to remove the various levels of impulse noise from the digital images by retaining the useful information in image with less computational time. 152 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Apr 2021, 2021
ISBN 10: 6203846694 ISBN 13: 9786203846690
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 61,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image restoration is very crucial task to preserve the fine points of the image. One of the conflicts of the image restoration is impulse noise. Impulse noise is environmental noise it affects the image during the transmission, store of the image pixels in memory cell and hardware failures in capturing devices. In literature, many effective techniques are suggested to eliminate the impulse noise. But their execution is not great under moderate and high noise conditions. Hence, there is adequate scope to investigate and develop filters to eliminating he impulse noise at high noise densities. In this book, we address these issues by proposing five techniques to remove the various levels of impulse noise from the digital images by retaining the useful information in image with less computational time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6203846694 ISBN 13: 9786203846690
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 62,64
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image restoration is very crucial task to preserve the fine points of the image. One of the conflicts of the image restoration is impulse noise. Impulse noise is environmental noise it affects the image during the transmission, store of the image pixels in memory cell and hardware failures in capturing devices. In literature, many effective techniques are suggested to eliminate the impulse noise. But their execution is not great under moderate and high noise conditions. Hence, there is adequate scope to investigate and develop filters to eliminating he impulse noise at high noise densities. In this book, we address these issues by proposing five techniques to remove the various levels of impulse noise from the digital images by retaining the useful information in image with less computational time.