Sparse Image and Signal Processing

DOI10.1017/CBO9781316104514zbMath1335.94003OpenAlexW4238056994MaRDI QIDQ5899655

Fionn Murtagh, Jalal Fadili, Jean-Luc Starck

Publication date: 20 January 2016

Full work available at URL: https://doi.org/10.1017/cbo9781316104514

zbMATH Keywords

image processingSignal processingnumerical experimentsdenoisingwavelet transformssparse representationcompressed sensinglinear inverse problemsmorphological diversityridgelet transformscurvelet transformsnonlinear multiscale transformssparse blind source separationwavelets on the sphere

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Research exposition (monographs, survey articles) pertaining to information and communication theory (94-02) Sampling theory in information and communication theory (94A20)

Related Items (8)

Separation of perfusion phases in angiographies ⋮ \(p\)-adic mathematical physics: the first 30 years ⋮ Redundant basis interpretation of Doi-Peliti method and an application ⋮ Bayesian wavelet analysis using nonlocal priors with an application to fMRI analysis ⋮ Non-convex Optimization via Strongly Convex Majorization-minimization ⋮ Linearly involved generalized Moreau enhanced models and their proximal splitting algorithm under overall convexity condition ⋮ Galaxy image restoration with shape constraint ⋮ Rethinking data-driven point spread function modeling with a differentiable optical model

Uses Software

• Matlab
• NESTA
• Healpix
• ForWaRD

This page was built for publication: Sparse Image and Signal Processing