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An Empirical Study of Periodic noise filtering in Fourier domain

An Empirical Study of Periodic noise filtering in Fourier domain

von Atul Rai
Softcover - 9783659389948
39,90 €
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Beschreibung

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.

An introduction to novel autonomous periodic noise removal algorithms

Details

Verlag LAP LAMBERT Academic Publishing
Ersterscheinung 02. Mai 2013
Maße 22 cm x 15 cm x 0.6 cm
Gewicht 143 Gramm
Format Softcover
ISBN-13 9783659389948
Seiten 84

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