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Wavelet-Based Adaptive Anisotropic Diffusion FilterTANYERI, U.   , DEMIRCI, R. |
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Author keywords
image denoising, discrete wavelet transforms, anisotropic, adaptive filters, nonlinear filters
References keywords
image(19), processing(16), diffusion(14), speckle(12), anisotropic(12), wavelet(7), images(7), filter(6), reduction(5), filtering(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2018-11-30
Volume 18, Issue 4, Year 2018, On page(s): 99 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.04012
Web of Science Accession Number: 000451843400012
SCOPUS ID: 85058776237
Abstract
Its multiplicative nature complicates speckle noise reduction in images because of the effort required for separation of noisy pixels from other pixels. In this study, a novel adaptive anisotropic diffusion filter algorithm based on Haar wavelet transform has been proposed. Initially, Haar transform of image to be filtered was taken and then median absolute deviation of wavelet coefficients was used to tune the conductance parameter, K of diffusion filter with different diffusion functions. The suggested strategy has been tested with different images and different noise variances. Moreover, experimental results have been compared with conventional diffusion filters, and also Lee filter and Wiener filter which are frequently used for despeckling. |
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[1] A study on noise reduction for dual-energy CT material decomposition with autoencoder, Li, Mohan, Wang, Zhe, Xu, Qiong, Zhang, Zhidu, Cheng, Zhiwei, Liu, Shuangquan, Liu, Baodong, Wei, Cunfeng, Wei, Long, Radiation Detection Technology and Methods, ISSN 2509-9930, Issue 3, Volume 3, 2019.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
