Steerable Wavelet Frames Based on the Riesz Transform

DOI10.1109/TIP.2009.2036713zbMath1371.42043OpenAlexW2149548037WikidataQ84940089 ScholiaQ84940089MaRDI QIDQ5366270

Stefan Held, Martin Storath, Brigitte Forster, Peter R. Massopust

Publication date: 9 October 2017

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

Full work available at URL: https://doi.org/10.1109/tip.2009.2036713

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Application of orthogonal and other special functions (94A11)

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Steerable PCA for Rotation-Invariant Image Recognition ⋮ Multi-scale orientation estimation using higher order Riesz transforms ⋮ Quaternionic Gabor frame characterization and the density theorem ⋮ A wavelet perspective on variational perceptually-inspired color enhancement ⋮ Lifting of quaternionic frames to higher dimensions with partial ridges ⋮ Signal analysis based on complex wavelet signs ⋮ A sinusoidal image model derived from the circular harmonic vector ⋮ Multichannel image denoising using color monogenic curvelet transform ⋮ Angular Accuracy of Steerable Feature Detectors ⋮ Rock classification with features based on higher order Riesz transform ⋮ Linearized Riesz transform and quasi-monogenic shearlets

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