Multidimensional Gabor-Like Filters Derived from Gaussian Functions on Logarithmic Frequency Axes

Fuente: arXiv
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Auteurs principaux: Devakumar, Dherik, Eidheim, Ole Christian
Format: Preprint
Publié: 2024
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author Devakumar, Dherik
Eidheim, Ole Christian
author_facet Devakumar, Dherik
Eidheim, Ole Christian
contents A novel wavelet-like function is presented that makes it convenient to create filter banks given mainly two parameters that influence the focus area and the filter count. This is accomplished by computing the inverse Fourier transform of Gaussian functions on logarithmic frequency axes in the frequency domain. The resulting filters are similar to Gabor filters and represent oriented brief signal oscillations of different sizes. The wavelet-like function can be thought of as a generalized Log-Gabor filter that is multidimensional, always uses Gaussian functions on logarithmic frequency axes, and innately includes low-pass filters from Gaussian functions located at the frequency domain origin.
format Preprint
id arxiv_https___arxiv_org_abs_2402_09419
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Multidimensional Gabor-Like Filters Derived from Gaussian Functions on Logarithmic Frequency Axes
Devakumar, Dherik
Eidheim, Ole Christian
Signal Processing
Computer Vision and Pattern Recognition
Machine Learning
Neural and Evolutionary Computing
A novel wavelet-like function is presented that makes it convenient to create filter banks given mainly two parameters that influence the focus area and the filter count. This is accomplished by computing the inverse Fourier transform of Gaussian functions on logarithmic frequency axes in the frequency domain. The resulting filters are similar to Gabor filters and represent oriented brief signal oscillations of different sizes. The wavelet-like function can be thought of as a generalized Log-Gabor filter that is multidimensional, always uses Gaussian functions on logarithmic frequency axes, and innately includes low-pass filters from Gaussian functions located at the frequency domain origin.
title Multidimensional Gabor-Like Filters Derived from Gaussian Functions on Logarithmic Frequency Axes
topic Signal Processing
Computer Vision and Pattern Recognition
Machine Learning
Neural and Evolutionary Computing
url https://arxiv.org/abs/2402.09419