Handbook of Mathematical Methods in Imaging

DOI10.1007/978-1-4939-0790-8zbMath1322.68001OpenAlexW4244235095MaRDI QIDQ5419044

No author found.

Publication date: 4 June 2014

Full work available at URL: https://doi.org/10.1007/978-3-642-27795-5

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) General reference works (handbooks, dictionaries, bibliographies, etc.) pertaining to computer science (68-00)

Related Items (14)

On the randomised stability constant for inverse problems ⋮ Operator-theoretic and regularization approaches to ill-posed problems ⋮ Computed Origami Tomography ⋮ A globally linearly convergent method for pointwise quadratically supportable convex-concave saddle point problems ⋮ Adaptively weighted difference model of anisotropic and isotropic total variation for image denoising ⋮ Image restoration via the adaptive \(TV^p\) regularization ⋮ Anisotropic variational models for image denoising based on directional Hessian ⋮ Image restoration based on the minimized surface regularization ⋮ A review on deep learning in medical image reconstruction ⋮ A general truncated regularization framework for contrast-preserving variational signal and image restoration: motivation and implementation ⋮ Bouligand-Landweber iteration for a non-smooth ill-posed problem ⋮ Remove the salt and pepper noise based on the high order total variation and the nuclear norm regularization ⋮ Ill-Posed Problems: Operator Methodologies of Resolution and Regularization ⋮ Levenberg–Marquardt method for ill-posed inverse problems with possibly non-smooth forward mappings between Banach spaces

This page was built for publication: Handbook of Mathematical Methods in Imaging