Max-product type multivariate sampling operators and applications to image processing

DOI10.1016/j.chaos.2022.111914zbMath1498.94013OpenAlexW4213425200MaRDI QIDQ2098688

Uğur Kadak

Publication date: 18 November 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2022.111914

zbMATH Keywords

image processingsignal processingsampling operatorsmax-product operatormultivariate fractional calculus

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

Multivariate neural network interpolation operators

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Approximation by max-product neural network operators of Kantorovich type
• New approach to a generalized fractional integral
• Bivariate quartic spline spaces and quasi-interpolation operators
• On approximation properties of generalized Kantorovich-type sampling operators
• Approximation by means of nonlinear Kantorovich sampling type operators in Orlicz spaces
• Approximation of continuous and discontinuous functions by generalized sampling series
• Solution algorithms for fuzzy relational equations with max-product composition
• Localization results for the Bernstein MAX-product operator
• Chaos analysis and asymptotic stability of generalized Caputo fractional differential equations
• Fractional differential equations of Caputo-Katugampola type and numerical solutions
• Inverse results of approximation and the saturation order for the sampling Kantorovich series
• Approximation results in Orlicz spaces for sequences of Kantorovich MAX-product neural network operators
• Hilfer-Katugampola fractional derivatives
• The max-product generalized sampling operators: convergence and quantitative estimates
• Fractional type multivariate sampling operators
• Linear prediction and simultaneous approximation by \(m\)-th order Kantorovich type sampling series
• Saturation by the Fourier transform method for the sampling Kantorovich series based on bandlimited kernels
• A comparison between the sampling Kantorovich algorithm for digital image processing with some interpolation and quasi-interpolation methods
• A new construction of the Clifford-Fourier kernel
• Approximation of discontinuous signals by sampling Kantorovich series
• A characterization of the absolute continuity in terms of convergence in variation for the sampling Kantorovich operators
• Detection of thermal bridges from thermographic images by means of image processing approximation algorithms
• Max-product neural network and quasi-interpolation operators activated by sigmoidal functions
• Adaptive wavelet thresholding for image denoising and compression
• Approximation by Max-Product Type Operators
• A class of spline functions for landmark-based image registration
• A Natural Formulation of Quasi-Interpolation by Multivariate Splines
• The L p Modulus of Continuity and Fourier Series of Lipschitz Functions
• Approximation by truncated max‐product operators of Kantorovich‐type based on generalized (ϕ,ψ)‐kernels
• A characterization of the convergence in variation for the generalized sampling series
• The mean value theorems and a Nagumo-type uniqueness theorem for Caputo’s fractional calculus

This page was built for publication: Max-product type multivariate sampling operators and applications to image processing