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2012 | OriginalPaper | Chapter

Multi-scale Geometric Analysis and Its Application of De-noising

Authors : Wu Guoning, Cao Siyuan, Duan Qingquan

Published in: Recent Advances in Computer Science and Information Engineering

Publisher: Springer Berlin Heidelberg

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The essence of multi-scale geometric analysis is to achieve optimal approximation of signal interested. This paper firstly introduces the backgrounds and recent developments of the subject, unveil the impetus behind this root causes. Finally we compare the differences of wavelet transform, contourlet transform and curvelet transform in suppression of random noise, and through practical experiments we confirm that multi-scale geometric analysis are better (sparser) than wavelet in approximating multidimensional signal of interested.

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Metadata
Title
Multi-scale Geometric Analysis and Its Application of De-noising
Authors
Wu Guoning
Cao Siyuan
Duan Qingquan
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
Book
Recent Advances in Computer Science and Information Engineering

Print ISBN: 978-3-642-25765-0

Electronic ISBN: 978-3-642-25766-7

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-3-642-25766-7_80