Empirical Voronoi wavelets
Abstract
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References
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- J. Gilles: Continuous empirical wavelets systems, Advances in Data Science and Adaptive Analysis, 12 (03n04) (2020), 2050006.
- K. Bui, J. Fauman, D. Kes, L.Torres Mandiola, A. Ciomaga, R. Salazar, A.L. Bertozzi, J. Gilles, D. P. Goronzy, A. I. Guttentag and P. S. Weiss: Segmentation of Scanning Tunneling Microscopy Images Using Variational Methods and Empirical Wavelets, Pattern Analysis and Applications, 23 (2020), 625–651.
- Y. Huang, F. Zhou and J. Gilles: Empirical curvelet based Fully Convolutional Network for supervised texture image segmentation, Neurocomputing, 349 (2019), 31–43.
- Y. Huang, V. De Bortoli, F. Zhou and J. Gilles: Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets, IET Image Processing Journal, 12 (9) (2018), 1626–1638.
- J. Gilles, K. Heal: A parameterless scale-space approach to find meaningful modes in histograms - Application to image and spectrum segmentation, International Journal of Wavelets, Multiresolution and Information Processing, 12 (6) (2014), 1450044-1–1450044-17.
- J. Gilles, G. Tran and S. Osher: 2D Empirical transforms. Wavelets, Ridgelets and Curvelets Revisited, SIAM Journal on Imaging Sciences, 7 (1) (2014), 157–186.
- J. Gilles: Empirical Wavelet Transform, IEEE Transactions on Signal Processing, 61 (16) (2013), 3999–4010.
Details
Primary Language
English
Subjects
Applied Mathematics
Journal Section
Research Article
Authors
Jerome Gilles
*
0000-0002-5626-8386
United States
Publication Date
December 1, 2022
Submission Date
September 28, 2022
Acceptance Date
October 26, 2022
Published in Issue
Year 2022 Volume: 5 Number: 4
