Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202530510 ISBN 13: 9786202530514
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
EUR 52,00
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Editore: LAP LAMBERT Academic Publishing Sep 2020, 2020
ISBN 10: 6202530510 ISBN 13: 9786202530514
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 39,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -In the field of image processing, elimination of noise from digital images plays a vital role.Effective detection of noisy pixel based on median value and an efficient algorithm for the estimation and replacement of noisy pixel has been carried out in our proposed method in which replacement of noisy pixel is carried out twice, which results in better preservation of image details. The presence of high performing detection stage for the detection noisy pixel makes the proposed method suitable in the case of high density random valued impulse noise, hence the proposed method yields better image quality with improved peak signal to noise ratio (PSNR) and reduced mean square error (MSE). Results of proposed method has been compared with many other standard median based switching filters in terms of visual and quantitative measures and the performance of the proposed method is presented.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202530510 ISBN 13: 9786202530514
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 52,34
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Editore: LAP LAMBERT Academic Publishing Sep 2020, 2020
ISBN 10: 6202530510 ISBN 13: 9786202530514
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the field of image processing, elimination of noise from digital images plays a vital role.Effective detection of noisy pixel based on median value and an efficient algorithm for the estimation and replacement of noisy pixel has been carried out in our proposed method in which replacement of noisy pixel is carried out twice, which results in better preservation of image details. The presence of high performing detection stage for the detection noisy pixel makes the proposed method suitable in the case of high density random valued impulse noise, hence the proposed method yields better image quality with improved peak signal to noise ratio (PSNR) and reduced mean square error (MSE). Results of proposed method has been compared with many other standard median based switching filters in terms of visual and quantitative measures and the performance of the proposed method is presented. 72 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202530510 ISBN 13: 9786202530514
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 54,22
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Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202530510 ISBN 13: 9786202530514
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 34,25
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pratap Singh SandeepSandeep Pratap Singh received his B.E., M.Tech in Computer Science & Engineering He has more than 8 years of academic experience and author of many Journals/Conferences.Presently he is working as Assistant Profess.
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202530510 ISBN 13: 9786202530514
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the field of image processing, elimination of noise from digital images plays a vital role.Effective detection of noisy pixel based on median value and an efficient algorithm for the estimation and replacement of noisy pixel has been carried out in our proposed method in which replacement of noisy pixel is carried out twice, which results in better preservation of image details. The presence of high performing detection stage for the detection noisy pixel makes the proposed method suitable in the case of high density random valued impulse noise, hence the proposed method yields better image quality with improved peak signal to noise ratio (PSNR) and reduced mean square error (MSE). Results of proposed method has been compared with many other standard median based switching filters in terms of visual and quantitative measures and the performance of the proposed method is presented.