Click to open the HelpDesk interface
AECE - Front page banner



JCR Impact Factor: 1.102
JCR 5-Year IF: 0.734
Issues per year: 4
Current issue: Feb 2021
Next issue: May 2021
Avg review time: 56 days


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


2,772,457 unique visits
Since November 1, 2009

Robots online now


SCImago Journal & Country Rank


Anycast DNS Hosting

 Volume 21 (2021)
     »   Issue 1 / 2021
 Volume 20 (2020)
     »   Issue 4 / 2020
     »   Issue 3 / 2020
     »   Issue 2 / 2020
     »   Issue 1 / 2020
 Volume 19 (2019)
     »   Issue 4 / 2019
     »   Issue 3 / 2019
     »   Issue 2 / 2019
     »   Issue 1 / 2019
 Volume 18 (2018)
     »   Issue 4 / 2018
     »   Issue 3 / 2018
     »   Issue 2 / 2018
     »   Issue 1 / 2018
 Volume 17 (2017)
     »   Issue 4 / 2017
     »   Issue 3 / 2017
     »   Issue 2 / 2017
     »   Issue 1 / 2017
  View all issues  


Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

Starting on the 15th of June 2020 we wiil introduce a new policy for reviewers. Reviewers who provide timely and substantial comments will receive a discount voucher entitling them to an APC reduction. Vouchers (worth of 25 EUR or 50 EUR, depending on the review quality) will be assigned to reviewers after the final decision of the reviewed paper is given. Vouchers issued to specific individuals are not transferable.

Starting on the 15th of December 2019 all paper authors are required to enter their SCOPUS IDs. You may use the free SCOPUS ID lookup form to find yours in case you don't remember it.

Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

Read More »


  4/2018 - 12

Wavelet-Based Adaptive Anisotropic Diffusion Filter

TANYERI, U. See more information about TANYERI, U. on SCOPUS See more information about TANYERI, U. on IEEExplore See more information about TANYERI, U. on Web of Science, DEMIRCI, R. See more information about DEMIRCI, R. on SCOPUS See more information about DEMIRCI, R. on SCOPUS See more information about DEMIRCI, R. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (2,147 KB) | Citation | Downloads: 500 | Views: 1,352

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

Quick view
Full text preview
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.

References | Cited By  «-- Click to see who has cited this paper

[1] M. Petrou, C. Petrou, Image Processing: The Fundamentals, 2nd edn. Chichester, U.K.: Wiley, 2010, pp. 325.
[CrossRef] [SCOPUS Times Cited 317]

[2] H. Aghababaee, J. Amini, Y. C. Tzeng, "Improving change detection methods of SAR images using fractals," Sci Iranica, vol. 20, no. 1, pp. 15-22, 2013.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 12]

[3] S. Saravani, R. Shad, M. Ghaemi, "Iterative adaptive Despeckling SAR image using anisotropic diffusion filter and Bayesian estimation denoising in wavelet domain," Multimedia Tools and Applications, vol. 77, no. 23, pp. 31469-31486, 2018.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 6]

[4] P. Perona, J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 12, no. 7, pp. 629-639, 1990.
[CrossRef] [Web of Science Times Cited 7172] [SCOPUS Times Cited 9098]

[5] P. Charbonnier, L. Blanc-Feraud, G. Aubert, M. Barlaud, "Two deterministic half-quadratic regularization algorithms for computed imaging," in Proc. of ICIP-94, IEEE International Conference on Image Processing, vol. 2, pp. 168-172, 1994.
[CrossRef] [SCOPUS Times Cited 205]

[6] J. Weickert, "Anisotropic diffusion in image processing," Teubner, Stuttgart, pp. 14-26, 1998.

[7] M. Black, G. Sapiro, D. H. Marimont, D. Heeger, "Robust anisotropic diffusion," IEEE Transactions on Image Processing, vol. 7, no. 3, pp. 421-432 , 1998.
[CrossRef] [Web of Science Times Cited 849] [SCOPUS Times Cited 1061]

[8] Y. Yu, S. T. Acton, "Speckle reducing anisotropic diffusion," IEEE Transactions on Image Processing. vol. 11, no. 11, pp. 1260-1270, 2002.
[CrossRef] [Web of Science Times Cited 1125] [SCOPUS Times Cited 1433]

[9] S. Aja, C. Alberola, J. Ruiz, "Fuzzy anisotropic diffusion for speckle filtering," Acoustics, Speech, and Signal Processing (ICASSP '01), vol. 2, pp. 1261-1264, 2001.

[10] S. Gupta, R. C. Chauhan, S. C. Sexana, "Wavelet-based statistical approach for speckle reduction in medical ultrasound images," Medical and Biological Engineering and Computing, vol. 42, no. 2, pp. 189-192, 2004.
[CrossRef] [Web of Science Times Cited 139] [SCOPUS Times Cited 164]

[11] F. Maussang, J. Chanussot, S. C. Visan, M. Amate, "Adaptive anisotropic diffusion for speckle filtering in SAS imagery," Oceans 2005 Europe, vol. 1, pp. 305-309, 2005.
[CrossRef] [SCOPUS Times Cited 3]

[12] T. Joel, R. Sivakumar, "An extensive review on despeckling of medical ultrasound images using various transformation techniques," Applied Acoustics, vol. 138, pp. 18-27.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 20]

[13] H. K. Rafsanjani, M. H. Sedaaghi, S. Saryazdi, "An adaptive diffusion coefficient selection for image denoising," Digital Signal Processing, vol. 64, pp. 71-82, 2017.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 19]

[14] S. Aja-Fernández, C. Alberola-López, "On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering," IEEE Trans. on Image Processing, vol. 15, no. 9, pp. 2694-2701, 2006.
[CrossRef] [Web of Science Times Cited 206] [SCOPUS Times Cited 254]

[15] K. Krissian, C. F. Westin, R. Kikinis, K. G. Vosburgh, "Oriented speckle reducing anisotropic diffusion," IEEE Trans. on Image Processing, vol. 16, no. 5, pp. 1412-1424, 2007.
[CrossRef] [Web of Science Times Cited 253] [SCOPUS Times Cited 295]

[16] J. J. Nair, V. K. Govindan, "Speckle noise reduction using fourth order complex diffusion based homomorphic filter," In Advances in Computing and Information Technology, vol. 177, pp. 895-903, July 2012.
[CrossRef] [SCOPUS Times Cited 7]

[17] P. M. Shankar, "Use of phase diversity and modified phase congruence for edge enhancement in ultrasonic imaging," Signal, Image and Video Processing, vol. 7, no. 2, pp. 317-324, 2013.
[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 1]

[18] M. K. Alaoui, T. Nabil, M. Altanji, "On some new non-linear diffusion models for the image filtering. Applicable Analysis," vol. 93, no. 2, pp. 269-280, 2014.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 12]

[19] R. Demirci, "Fuzzy adaptive anisotropic filter for medical images," Expert Systems, vol. 27, no. 3, pp. 219-229, 2010.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 11]

[20] G. Singh, M. A. Ansari, "Efficient detection of brain tumor from MRIs using K-means segmentation and normalized histogram," In Information Processing (IICIP), 2016 1st India International Conference on, pp. 1-6, Aug. 2016.

[21] A. B. Spanier, N. Caplan, J. Sosna, B. Acar, L. Joskowicz, "A fully automatic end-to-end method for content-based image retrieval of CT scans with similar liver lesion annotations," International journal of computer assisted radiology and surgery, vol. 13, no. 1, pp. 165-174, 2018.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 9]

[22] P. Mercorelli, A. Frick, "Noise level estimation using haar wavelet packet trees for sensor robust outlier detection," In Computational Science and Its Applications-ICCSA, pp. 847-856, 2006.
[CrossRef] [SCOPUS Times Cited 9]

[23] S. Finn, M. Glavin, E. Jones, "Echocardiographic speckle reduction comparison," IEEE Trans. on Ultrasonics, Ferroelectrics and Frequency Control, vol. 58, no. 1, pp. 82-101, 2011.
[CrossRef] [Web of Science Times Cited 73] [SCOPUS Times Cited 94]

[24] R. Demirci, U. Tanyeri, "Anisotropic diffusion filter using Haar wavelet," In System Theory, Control and Computing (ICSTCC), pp. 1-6, Oct. 2012.

[25] D. L. Donoho, I. M. Johnstone, "Ideal spatial adaptation via wavelet shrinkage," Biometrika. vol. 81, no. 3, pp. 425-455, 1994.
[CrossRef] [Web of Science Times Cited 5219] [SCOPUS Times Cited 6362]

[26] G. Chang, B. Yu, M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression," IEEE Trans. on Image Processing, vol. 9, no. 7, pp. 1352-1545, 2000.
[CrossRef] [Web of Science Times Cited 1590] [SCOPUS Times Cited 2131]

[27] D. L. Donoho, "De-noising by soft-thresholding," IEEE Trans. on Inform. Theor., vol. 41, no. 3, pp. 613-627, 1995.
[CrossRef] [Web of Science Times Cited 5550] [SCOPUS Times Cited 7433]

[28] G. Andria, F. Attivissimo, A. M. Lanzolla, M. A. Savino, "Suitable threshold for speckle reduction in ultrasound images," IEEE Trans. on Instrumentation and Measurement, vol. 62, no. 8, pp. 2270-2279, 2013.
[CrossRef] [Web of Science Times Cited 39] [SCOPUS Times Cited 50]

[29] L. L. Huang, L. Xiao, Z. H. Wei, "Multiplicative noise removal via a novel variational model," EURASIP Journal on Image and Video Processing, vol. 2010, 2010.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 30]

[30] J. Sun, Z. Xu, "Scale selection for anisotropic diffusion filter by Markov random field model," Pattern Recognition, vol. 43, no. 8, pp. 2630-2645, 2010.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 12]

[31] Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Trans. on Image Processing, vol. 13, no. 4, pp. 600-612, 2004.
[CrossRef] [Web of Science Times Cited 17673] [SCOPUS Times Cited 21606]

[32] R. C. Gonzalez, R. E. Woods, Digital image processing second edition, Prentice Hall, New Jersey, p. 59, 2002

[33] J. Lee, "Speckle analysis and smoothing of synthetic aperture radar images," Computer Graphics and Image Processing, vol. 17, pp. 24-32, 1981.
[CrossRef] [Web of Science Times Cited 484] [SCOPUS Times Cited 608]

[34] S. Solbo, T. Eltoft, "A stationary wavelet-domain wiener filter for correlated speckle," IEEE Trans. on Geoscience and Remote Sensing, vol. 46, no. 4, pp. 1219-1230, 2008.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 62]

[35] A. Ozcan, A. Bilenca, A. E. Desjardins, B. E. Bouma, G. J. Tearney, "Speckle reduction in optical coherence tomography images using digital filtering," Journal of the Optical Society of America A. vol. 24, no. 7, pp. 1901-1910, 2007.
[CrossRef] [Web of Science Times Cited 173] [SCOPUS Times Cited 195]

References Weight

Web of Science® Citations for all references: 40,706 TCR
SCOPUS® Citations for all references: 51,519 TCR

Web of Science® Average Citations per reference: 1,131 ACR
SCOPUS® Average Citations per reference: 1,431 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-03-03 09:16 in 211 seconds.

Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2021
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.

Website loading speed and performance optimization powered by: