Self-Similar Anisotropic Texture Analysis: The Hyperbolic Wavelet Transform Contribution

DOI10.1109/TIP.2013.2272515zbMath1373.94354arXiv1305.4384OpenAlexW3098420962WikidataQ44088916 ScholiaQ44088916MaRDI QIDQ5373568

Patrice Abry, Béatrice Vedel, Stéphane Jaffard, Marianne Clausel, Stéphane G. Roux

Publication date: 27 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.4384

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (12)

Multivariate intensity estimation via hyperbolic wavelet selection ⋮ Asymptotic performance of projection estimators in standard and hyperbolic wavelet bases ⋮ On the carrying dimension of occupation measures for self-affine random fields ⋮ Estimation of self-similar Gaussian fields using wavelet transform ⋮ Exponents of operator self-similar random fields ⋮ Strongly convex optimization for joint fractal feature estimation and texture segmentation ⋮ Hyperbolic wavelet analysis of classical isotropic and anisotropic Besov-Sobolev spaces ⋮ Wavelet-based estimations of fractional Brownian sheet: least squares versus maximum likelihood ⋮ Directional multifractal analysis in the \(L^p\) setting ⋮ Multifractal analysis of rectangular pointwise regularity with hyperbolic wavelet bases ⋮ Anisotropy of Hölder Gaussian random fields: characterization, estimation, and application to image textures ⋮ Regularity of anisotropic refinable functions

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