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Artículos de revistas sobre el tema "Monogenic wavelet"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 1 de febrero de 2022

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1

Olhede, S. C., and G. Metikas. "The Monogenic Wavelet Transform." IEEE Transactions on Signal Processing 57, no. 9 (2009): 3426–41. http://dx.doi.org/10.1109/tsp.2009.2023397.

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2

Gai, Shan, Yong Zhang, Cihui Yang, Lei Wang, and Jiehua Zhou. "Color monogenic wavelet transform for multichannel image denoising." Multidimensional Systems and Signal Processing 28, no. 4 (2016): 1463–80. http://dx.doi.org/10.1007/s11045-016-0426-z.

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3

MORIMOTO, Akira, Ryuichi ASHINO, and Takeshi MANDAI. "Image separation using complex wavelet transforms - An application of the monogenic wavelet transform -." Journal of the Visualization Society of Japan 29-1, no. 2 (2009): 1091. http://dx.doi.org/10.3154/jvs.29.1091.

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4

Gai, Shan. "Efficient Color Texture Classification Using Color Monogenic Wavelet Transform." Neural Processing Letters 46, no. 2 (2017): 609–26. http://dx.doi.org/10.1007/s11063-017-9608-4.

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5

Unser, M., D. Sage, and D. Van De Ville. "Multiresolution Monogenic Signal Analysis Using the Riesz–Laplace Wavelet Transform." IEEE Transactions on Image Processing 18, no. 11 (2009): 2402–18. http://dx.doi.org/10.1109/tip.2009.2027628.

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6

Li, Jinjun, Hong Zhao, Xiang Zhou, and Chengying Shi. "Robust stereo image matching using a two-dimensional monogenic wavelet transform." Optics Letters 34, no. 22 (2009): 3514. http://dx.doi.org/10.1364/ol.34.003514.

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7

Gai, Shan. "Multiresolution Monogenic Wavelet Transform Combined with Bivariate Shrinkage Functions for Color Image Denoising." Circuits, Systems, and Signal Processing 37, no. 3 (2017): 1162–76. http://dx.doi.org/10.1007/s00034-017-0597-3.

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8

Bao, Zhongyun, Guolin Zhang, Bangshu Xiong, and Shan Gai. "New image denoising algorithm using monogenic wavelet transform and improved deep convolutional neural network." Multimedia Tools and Applications 79, no. 11-12 (2019): 7401–12. http://dx.doi.org/10.1007/s11042-019-08569-y.

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9

Arfaoui, Sabrine, Anouar Ben Mabrouk, and Carlo Cattani. "New Type of Gegenbauer-Jacobi-Hermite Monogenic Polynomials and Associated Continuous Clifford Wavelet Transform." Acta Applicandae Mathematicae 170, no. 1 (2020): 1–35. http://dx.doi.org/10.1007/s10440-020-00322-0.

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10

Gai, Shan, Boyu Zhang, Cihui Yang, and Lei Yu. "Speckle noise reduction in medical ultrasound image using monogenic wavelet and Laplace mixture distribution." Digital Signal Processing 72 (January 2018): 192–207. http://dx.doi.org/10.1016/j.dsp.2017.10.006.

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11

Li, Jinjun, Hong Zhao, Qiang Fu, and Kejian Jiang. "Space-time stereo analysis combining local structure and modulation features in the monogenic wavelet domain." Optics Letters 35, no. 7 (2010): 1049. http://dx.doi.org/10.1364/ol.35.001049.

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12

Clausel, Marianne, Thomas Oberlin, and Valérie Perrier. "The monogenic synchrosqueezed wavelet transform: a tool for the decomposition/demodulation of AM–FM images." Applied and Computational Harmonic Analysis 39, no. 3 (2015): 450–86. http://dx.doi.org/10.1016/j.acha.2014.10.003.

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13

NUNES, JEAN-CLAUDE, and ÉRIC DELÉCHELLE. "EMPIRICAL MODE DECOMPOSITION: APPLICATIONS ON SIGNAL AND IMAGE PROCESSING." Advances in Adaptive Data Analysis 01, no. 01 (2009): 125–75. http://dx.doi.org/10.1142/s1793536909000059.

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In this paper, we propose some recent works on data analysis and synthesis based on Empirical Mode Decomposition (EMD). Firstly, a direct 2D extension of original Huang EMD algorithm with application to texture analysis, and fractional Brownian motion synthesis. Secondly, an analytical version of EMD based on PDE in 1D-space is presented. We proposed an extension in 2D-case of the so-called "sifting process" used in the original Huang's EMD. The 2D-sifting process is performed in two steps: extrema detection (by neighboring window or morphological operators) and surface interpolation by spline
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14

Häuser, S., B. Heise, and G. Steidl. "Linearized Riesz transform and quasi-monogenic shearlets." International Journal of Wavelets, Multiresolution and Information Processing 12, no. 03 (2014): 1450027. http://dx.doi.org/10.1142/s0219691314500271.

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The only quadrature operator of order two on L2(ℝ2) which covaries with orthogonal transforms, in particular rotations is (up to the sign) the Riesz transform. This property was used for the construction of monogenic wavelets and curvelets. Recently, shearlets were applied for various signal processing tasks. Unfortunately, the Riesz transform does not correspond with the shear operation. In this paper, we propose a novel quadrature operator called linearized Riesz transform which is related to the shear operator. We prove properties of this transform and analyze its performance vs. the usual
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15

Arfaoui, Sabrine, and Anouar Ben Mabrouk. "Some Ultraspheroidal Monogenic Clifford Gegenbauer Jacobi Polynomials and Associated Wavelets." Advances in Applied Clifford Algebras 27, no. 3 (2017): 2287–306. http://dx.doi.org/10.1007/s00006-017-0788-9.

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16

Soulard, Raphael, and Philippe Carre. "Elliptical Monogenic Wavelets for the Analysis and Processing of Color Images." IEEE Transactions on Signal Processing 64, no. 6 (2016): 1535–49. http://dx.doi.org/10.1109/tsp.2015.2505664.

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17

Soulard, Raphaël, Philippe Carre, and Christine Fernandez-Maloigne. "Vector Extension of Monogenic Wavelets for Geometric Representation of Color Images." IEEE Transactions on Image Processing 22, no. 3 (2013): 1070–83. http://dx.doi.org/10.1109/tip.2012.2226902.

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18

Arfaoui, Sabrine, Anouar Ben Mabrouk, and Carlo Cattani. "New Type of Gegenbauer–Hermite Monogenic Polynomials and Associated Clifford Wavelets." Journal of Mathematical Imaging and Vision 62, no. 1 (2019): 73–97. http://dx.doi.org/10.1007/s10851-019-00914-y.

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19

Bernstein, Swanhild. "Spherical Singular Integrals, Monogenic Kernels and Wavelets on the Three-Dimensional Sphere." Advances in Applied Clifford Algebras 19, no. 2 (2009): 173–89. http://dx.doi.org/10.1007/s00006-009-0149-4.

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20

Zada, Sara, Yassine Tounsi, Manoj Kumar, Fernando Mendoza-Santoyo, and Abdelkrim Nassim. "Contribution study of monogenic wavelets transform to reduce speckle noise in digital speckle pattern interferometry." Optical Engineering 58, no. 03 (2019): 1. http://dx.doi.org/10.1117/1.oe.58.3.034109.

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21

Cerejeiras, Paula, Milton Ferreira, and Uwe Kähler. "Monogenic Wavelets Over the Unit Ball." Zeitschrift für Analysis und ihre Anwendungen, 2005, 841–52. http://dx.doi.org/10.4171/zaa/1270.

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