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The equivalence of Fourier-based and Wasserstein metrics on imaging problems

Title: The equivalence of Fourier-based and Wasserstein metrics on imaging problems
Authors: Gennaro Auricchio; Andrea Codegoni; Stefano Gualandi; Giuseppe Toscani; Marco Veneroni
Contributors: Auricchio, Gennaro; Codegoni, Andrea; Gualandi, Stefano; Toscani, Giuseppe; Veneroni, Marco
Publisher Information: European Mathematical Society Publishing House
Publication Year: 2020
Collection: Padua Research Archive (IRIS - Università degli Studi di Padova)
Subject Terms: Fourier transform; Fourier-based metric; Image analysi; Wasserstein distance
Description: We investigate properties of some extensions of a class of Fourier-based probability metrics, originally introduced to study convergence to equilibrium for the solution to the spatially homogeneous Boltzmann equation. At di erence with the original one, the new Fourier-based metrics are well-defined also for probability distributions with di erent centers of mass, and for discrete probability measures supported over a regular grid. Among other properties, it is shown that, in the discrete setting, these new Fourier-based metrics are equivalent either to the Euclidean-Wasserstein distance W2, or to the Kantorovich-Wasserstein distance W1, with explicit constants of equivalence. Numerical results then show that in benchmark problems of image processing, Fourier metrics provide a better runtime with respect to Wasserstein ones.
Document Type: article in journal/newspaper
Language: English
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000587437700008; volume:31; issue:3; firstpage:627; lastpage:649; journal:ATTI DELLA ACCADEMIA NAZIONALE DEI LINCEI. RENDICONTI LINCEI. MATEMATICA E APPLICAZIONI; https://hdl.handle.net/11577/3528341
DOI: 10.4171/RLM/908
Availability: https://hdl.handle.net/11577/3528341; https://doi.org/10.4171/RLM/908
Rights: info:eu-repo/semantics/openAccess ; license:Accesso libero ; license uri:iris.PUB01
Accession Number: edsbas.FD871848
Database: BASE