Polyharmonic Daubechies type wavelets in Image Processing and Astronomy, I
Ognyan Kounchev, Damyan Kalaglarsky
TL;DR
This paper introduces a new family of multivariate wavelets derived from polyharmonic subdivision, generalizing Daubechies wavelets, with potential applications in image processing and astronomy.
Contribution
The paper presents a novel class of multivariate wavelets based on polyharmonic subdivision, extending Daubechies wavelets to higher dimensions.
Findings
New multivariate wavelet family introduced
Generalization of Daubechies wavelets achieved
Potential applications in image processing and astronomy
Abstract
We introduce a new family of multivariate wavelets which are obtained by "polyharmonic subdivision". They generalize directly the original compactly supported Daubechies wavelets.
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Taxonomy
TopicsImage and Signal Denoising Methods · Advanced Image Fusion Techniques · Advanced Image Processing Techniques