A total fractional-order variation model for image super-resolution and its SAV algorithm

DOI10.1007/s10915-020-01185-1zbMath1439.65100OpenAlexW3011136928MaRDI QIDQ2177942

Yanyan Li

Publication date: 7 May 2020

Published in: Journal of Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10915-020-01185-1

zbMATH Keywords

texturesuper resolutionscalar auxiliary variablefractional-order variation

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Fractional derivatives and integrals (26A33) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Numerical methods for discrete and fast Fourier transforms (65T50) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Fractional partial differential equations (35R11) Integro-partial differential equations (35R09)

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An improved bilevel optimization approach for image super-resolution based on a fractional diffusion tensor ⋮ A novel robust fractional-time anisotropic diffusion for multi-frame image super-resolution ⋮ A Hadamard fractional total variation-Gaussian (HFTG) prior for Bayesian inverse problems ⋮ A framelet sparse reconstruction method for pansharpening with guaranteed convergence ⋮ Bilevel optimal parameter learning for a high-order nonlocal multiframe super-resolution problem

Uses Software

• DnCNN

Cites Work

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