Lightfield recovery from its focal stack

DOI10.1007/s10851-016-0658-4zbMath1386.68208OpenAlexW2406949229MaRDI QIDQ333635

Mohammad Hasan, M. Dambrine

Publication date: 31 October 2016

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-016-0658-4

zbMATH Keywords

regularizationinverse problemsfocal stacklightfieldplenoptic

Mathematics Subject Classification ID

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

Uses Software

• Regularization tools
• UTV

Cites Work

• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• Old and new parameter choice rules for discrete ill-posed problems
• Super-resolved Fourier-slice refocusing in plenoptic cameras
• The Split Bregman Method for L1-Regularized Problems
• A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration
• Rank-Deficient and Discrete Ill-Posed Problems
• Fast Image Recovery Using Variable Splitting and Constrained Optimization

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