Multi-Wavelet Based Image De-noising

Language: English

Published by LAP LAMBERT Academic Publishing, 2012

3844387102 / 9783844387100

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - The Image denoising naturally corrupted by noise is a classical problem in the field of signal or image processing. Denoising of a natural images corrupted by Gaussian noise using multi-wavelet techniques are very effective because of its ability to capture the energy of a signal in few energy transfer values. Multi-wavelet can satisfy with symmetry and asymmetry which are very important characteristics in signal processing. The better denoising result depends on the degree of the noise. Generally, its energy is distributed over low frequency band while both its noise and details are distributed over high frequency band. Corresponding hard threshold used in different scale high frequency sub-bands. This work is proposed to indicate the suitability of different wavelet and multi-wavelet based and a size of different neighborhood on the performance of image denoising algorithm in terms of PSNR value. Finally it compares wavelet and multi-wavelet techniques and produces best denoised image using multi-wavelet technique based on the performance of image denoising algorithm in terms of PSNR Values.…

Seller Inventory # 9783844387100

Title
Multi-Wavelet Based Image De-noising
Author
Abha Choubey
Publisher
LAP LAMBERT Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3844387102
ISBN 13
9783844387100
Item weight
155 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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