The use of intensity-dependent weight functions to ``Weberize \(L^2\)-based methods of signal and image approximation

DOI10.1007/s11081-021-09630-2zbMath1482.91172OpenAlexW3154921582MaRDI QIDQ2069133

Dongchang Li, Amelia Kunze, Ilona A. Urbaniak, Edward R. Vrscay, Davide La Torre

Publication date: 20 January 2022

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-021-09630-2

zbMATH Keywords

best Weberized approximationrange-dependent weight functionsWeber model of perceptionWeberized image metrics

Mathematics Subject Classification ID

Applications of functional analysis in biology and other sciences (46N60) Psychophysics and psychophysiology; perception (91E30)

Related Items (1)

Optimization methods in inverse problems and applications to science and engineering

Cites Work

• On the foundations of vision modeling. I: Weber's law and Weberized TV restoration
• Weberized Mumford-Shah model with Bose-Einstein photon noise
• Functional Analysis in Mechanics

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