An Empirical Study of Periodic noise filtering in Fourier domain: An introduction to novel autonomous periodic noise removal algorithms - Softcover
Quasi periodic noise or moiré patterns are one of the complex noise models that are responsible for the various errors in X-ray imaging and in other image transmission applications. This book demonstrates an empirical study of various linear and non linear notch filters in Fourier domain. The book also explores a novel machine learning (Bagging) based periodic noise removal technique. The method can be used as an automated techniques to highlight and remove the periodic and quasi periodic noise from an image. A part of this book is dedicated to the design and implementation of image filtering tool in Fourier domain on Matlab platform.
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About the Author:
Atul Rai completed his under graduation in Computer Science from India, He pursued his MS in Artificial Intelligence from University of Manchester UK. Currently, he is working as Research Associate in Department of Image Processing and Computer Graphics, University of Szeged, Hungary.His field of interest is Computer vision & Machine Learning.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2013
- ISBN 10 3659389943
- ISBN 13 9783659389948
- BindingPaperback
- Number of pages84
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An Empirical Study of Periodic noise filtering in Fourier domain: An introduction to novel autonomous periodic noise removal algorithms
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An Empirical Study of Periodic noise filtering in Fourier domain An introduction to novel autonomous periodic noise removal algorithms
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quasi periodic noise or moiré patterns are one of the complex noise models that are responsible for the various errors in X-ray imaging and in other image transmission applications. This book demonstrates an empirical study of various linear and non linear notch filters in Fourier domain. The book also explores a novel machine learning (Bagging) based periodic noise removal technique. The method can be used as an automated techniques to highlight and remove the periodic and quasi periodic noise from an image. A part of this book is dedicated to the design and implementation of image filtering tool in Fourier domain on Matlab platform. Seller Inventory # 9783659389948
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Quasi periodic noise or moiré patterns are one of the complex noise models that are responsible for the various errors in X-ray imaging and in other image transmission applications. This book demonstrates an empirical study of various linear and non linear notch filters in Fourier domain. The book also explores a novel machine learning (Bagging) based periodic noise removal technique. The method can be used as an automated techniques to highlight and remove the periodic and quasi periodic noise from an image. A part of this book is dedicated to the design and implementation of image filtering tool in Fourier domain on Matlab platform. 84 pp. Englisch. Seller Inventory # 9783659389948
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An Empirical Study of Periodic noise filtering in Fourier domain An introduction to novel autonomous periodic noise removal algorithms
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rai AtulAtul Rai completed his under graduation in Computer Science from India, He pursued his MS in Artificial Intelligence from University of Manchester UK. Currently, he is working as Research Associate in Department of Image Proc. Seller Inventory # 5153053
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