Compressive Imaging: Structure, Sampling, Learning
From MaRDI portal
Publication:4986961
DOI10.1017/9781108377447zbMath1468.68001OpenAlexW4206305733MaRDI QIDQ4986961
Publication date: 28 April 2021
Full work available at URL: https://doi.org/10.1017/9781108377447
Artificial neural networks and deep learning (68T07) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Related Items (11)
WARPd: A Linearly Convergent First-Order Primal-Dual Algorithm for Inverse Problems with Approximate Sharpness Conditions ⋮ Deep Learning--Based Dictionary Learning and Tomographic Image Reconstruction ⋮ Embracing off-the-grid samples ⋮ Joint Reconstruction-Segmentation on Graphs ⋮ LASSO Reloaded: A Variational Analysis Perspective with Applications to Compressed Sensing ⋮ On the determination of Lagrange multipliers for a weighted Lasso problem using geometric and convex analysis techniques ⋮ Do log factors matter? On optimal wavelet approximation and the foundations of compressed sensing ⋮ NESTANets: stable, accurate and efficient neural networks for analysis-sparse inverse problems ⋮ Towards optimal sampling for learning sparse approximation in high dimensions ⋮ Improved Recovery Guarantees and Sampling Strategies for TV Minimization in Compressive Imaging ⋮ Recovering Wavelet Coefficients from Binary Samples Using Fast Transforms
This page was built for publication: Compressive Imaging: Structure, Sampling, Learning
