A1 Refereed original research article in a scientific journal
Bounded variation spaces with generalized Orlicz growth related to image denoising
Authors: Eleuteri, Michela; Harjulehto, Petteri; Hästö, Peter
Publisher: Springer Science and Business Media LLC
Publishing place: HEIDELBERG
Publication year: 2025
Journal: Mathematische Zeitschrift
Journal name in source: Mathematische Zeitschrift
Journal acronym: MATH Z
Article number: 26
Volume: 310
Issue: 2
Number of pages: 28
ISSN: 0025-5874
eISSN: 1432-1823
DOI: https://doi.org/10.1007/s00209-025-03731-9
Web address : https://doi.org/10.1007/s00209-025-03731-9
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/491742249
Motivated by the image denoising problem and the undesirable stair-casing effect of the total variation method, we introduce bounded variation spaces with generalized Orlicz growth. Our setup covers earlier variable exponent and double phase models. We study the norm and modular of the new space and derive a formula for the modular in terms of the Lebesgue decomposition of the derivative measure and a location dependent recession function. We also show that the modular can be obtained as the Γ-limit of uniformly convex approximating energies.
Downloadable publication This is an electronic reprint of the original article. |
Funding information in the publication:
Open Access funding provided by University of Helsinki (including Helsinki University Central
Hospital).