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2021 | OriginalPaper | Chapter

Image Denoising by Wavelet Transform Based on New Threshold

Authors : Hua Zhu, Xiaomei Wang

Published in: Big Data Analytics for Cyber-Physical System in Smart City

Publisher: Springer Singapore

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Abstract

On the basis of two classical hard and soft threshold processing methods, combined with the improved methods mentioned in the literature, a comprehensive threshold processing method is proposed. The threshold function can not only overcome the defects of discontinuity and constant deviation of the traditional threshold, but also adjust the error between the original wavelet coefficient and the thresholding coefficient by adjusting the parameters. Through the comparison of simulation experiments, it is found that the denoising effect of the new threshold function is significantly improved over the traditional threshold denoising effect in terms of visual effect, mean square error, peak signal-to-noise ratio, etc.

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Metadata
Title
Image Denoising by Wavelet Transform Based on New Threshold
Authors
Hua Zhu
Xiaomei Wang
Copyright Year
2021
Publisher
Springer Singapore
Book
Big Data Analytics for Cyber-Physical System in Smart City

Print ISBN: 978-981-334-573-7

Electronic ISBN: 978-981-334-572-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-4572-0_30

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