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JCR Impact Factor: 0.595
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

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


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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
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  4/2010 - 20

Searching Appropriate Mother Wavelets for Hyperanalytic Denoising

FIROIU, I. See more information about FIROIU, I. on SCOPUS See more information about FIROIU, I. on IEEExplore See more information about FIROIU, I. on Web of Science, NAFORNITA, C. See more information about  NAFORNITA, C. on SCOPUS See more information about  NAFORNITA, C. on SCOPUS See more information about NAFORNITA, C. on Web of Science, BOUCHER, J. M. See more information about  BOUCHER, J. M. on SCOPUS See more information about  BOUCHER, J. M. on SCOPUS See more information about BOUCHER, J. M. on Web of Science, ISAR, A. See more information about ISAR, A. on SCOPUS See more information about ISAR, A. on SCOPUS See more information about ISAR, A. on Web of Science
 
Click to see author's profile on 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 (1,507 KB) | Citation | Downloads: 868 | Views: 2,595

Author keywords
wavelet transforms, Hilbert transforms, white noise, filtering, MAP estimation

References keywords
wavelet(14), isar(8), image(5), hyperanalytic(5), denoising(5), processing(4), firoiu(4), boucher(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-11-30
Volume 10, Issue 4, Year 2010, On page(s): 125 - 128
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.04020
Web of Science Accession Number: 000284782700020
SCOPUS ID: 78649690158

Abstract
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The aim of this paper is the association of a new variant of Hyperanalytic Wavelet Transform (HWT) with a maximum a posteriori (MAP) filter, named bishrink for the denoising of images affected by additive white Gaussian noise (AWGN). The best results are obtained with the biorthogonal mother wavelets Daubechies 9/7.


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

[1] D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage", Biometrika, 81(3), pp. 425-455, 1994.
[CrossRef] [Web of Science Times Cited 4266] [SCOPUS Times Cited 5224]


[2] Foi, A., V. Katkovnik and K. Egiazarian, "Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images", IEEE Trans. Ima. Proc., (5), 1395-1411, 2007.
[CrossRef] [Web of Science Times Cited 220] [SCOPUS Times Cited 289]


[3] Firoiu I., Nafornita C., Boucher J. -M., Isar A., "Image Denoising Using a New Implementation of the Hyperanalytic Wavelet Transform," IEEE Transactions on Instrumentation and Measurements, vol. 58, Issue 8, pp. 2410-2416, August 2009.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 26]


[4] S. Foucher, G. B. Benie and J.-M. Boucher, "Multiscale MAP Filtering of SAR images", IEEE Trans. Ima. Proc., vol. 10, no.1, pp. 49-60, 2001.
[CrossRef] [PubMed] [Web of Science Times Cited 132] [SCOPUS Times Cited 179]


[5] L. Sendur and I. W. Selesnick, "Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency", IEEE Trans. on Signal Processing, 50(11), pp. 2744-2756, 2002.
[CrossRef] [Web of Science Times Cited 544] [SCOPUS Times Cited 742]


[6] F. Luisier, T. Blu and M. Unser, "A New SURE Approach to Image Denoising: Inter-Scale Orthonormal Wavelet Thresholding", IEEE Trans. Ima. Proc., vol.16, no. 3, pp. 593-606, 2007.
[CrossRef] [PubMed] [Web of Science Times Cited 281] [SCOPUS Times Cited 335]


[7] A. M. Atto, D. Pastor and G. Mercier, "Smooth Sigmoid Wavelet Shrinkage For Non-Parametric Estimation", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, Nevada, USA, 30 march - 2008.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 11]


[8] A. Ebrahimzadeh, A. Khazaee, "An Efficient Technique for Classification of Electrocardiogram Signals," Advances in Electrical and Computer Engineering, vol. 9, no. 3, pp. 89-93, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 13]


[9] S. C. Olhede and G. Metikas, "The hyperanalytic wavelet transform," Dept. Math., Imperial College, London, U.K. Imperial College Statistics Section Tech. Rep. TR-06-02, May 2006.

[10] C. Davenport, "Commutative Hypercomplex Mathematics", Available: Temporary on-line reference link removed - see the PDF document

[11] N. Kingsbury, "Complex Wavelets for Shift Invariant Analysis and Filtering of Signals", Applied and Comp. Harm. Anal. 10, pp. 234-253, 2001.
[CrossRef] [Web of Science Times Cited 700] [SCOPUS Times Cited 1201]


[12] I. Daubechies, "Ten Lectures on Wavelets", SIAM, Philadelphia, 1992.

[13] Ioana Firoiu, Alexandru Isar, Jean-Marc Boucher, "An Improved Version of the Inverse Hyperanalytic Wavelet Transform", Proceedings of IEEE International Symposium SCS'09, Iasi, Romania, July 9-10, pp. 13-16, 2009.
[CrossRef] [SCOPUS Times Cited 5]


[14] Firoiu I., Isar D., Boucher J.-M., Isar A., "Hyperanalytic Wavelet Packets," Proc. IEEE Conf. WISP 2009, Budapest, Hungary, pp. 67-72, 2009.
[CrossRef] [SCOPUS Times Cited 4]


[15] S.M. Lajevardi, Z. M. Hussain, "Feature Extraction for Facial Expression Recognition based on Hybrid Face Regions," Advances in Electrical and Computer Engineering, vol. 9, no. 3, pp. 63-67, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 7] [SCOPUS Times Cited 12]


[16] Nafornita C, Isar A., "On the Choice of the Mother Wavelet for Perceptual Data Hiding," Proceedings of IEEE International Symposium SCS'09, Iasi, Romania, July 9-10, pp. 233-236, 2009.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[17] Wan T., Canagarajah N., Achim A., "Segmentation-Driven Image Fusion Based on Alpha-Stable Modeling of Wavelet Coefficients," IEEE Transactions on Multimedia, vol. 11, no. 4, pp. 624-633, June 2009.
[CrossRef] [Web of Science Times Cited 45] [SCOPUS Times Cited 55]


[18] G. C. K. Abhayaratne, I. H. Jermyn and J. Zerubia, "Texture-adaptive mother wavelet selection for texture analysis", Proc. IEEE International Conference on Image Processing (ICIP), Genova, Italy, September 2005.
[CrossRef] [SCOPUS Times Cited 3]


[19] Oltean M., Isar A., "On The Time-Frequency Localization of the Wavelet Signals, with Application to Orthogonal Modulations," Proceedings of IEEE International Symposium SCS'09, Iasi, Romania, pp. 173-176, July 9-10, 2009.
[CrossRef] [SCOPUS Times Cited 12]


[20] Firoiu I., Isar A., Isar D., "A Maximum A Posteriori Approach of Hyperanalytic Wavelet Based Image Denoising in a Multi-Wavelet Context," Proceedings of the 9th WSEAS International Conference on Signal Processing (SIP '10), Catania, Italy, May 29-31, 2010.

References Weight

Web of Science® Citations for all references: 6,225 TCR
SCOPUS® Citations for all references: 8,114 TCR

Web of Science® Average Citations per reference: 311 ACR
SCOPUS® Average Citations per reference: 406 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 2018-01-22 03:58 in 108 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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