Tomographic image reconstruction using training images

DOI10.1016/j.cam.2016.09.019zbMath1353.65017arXiv1503.01993OpenAlexW2963345358WikidataQ56334257 ScholiaQ56334257MaRDI QIDQ344271

Martin S. Andersen, Per Christian Hansen, Sara Soltani

Publication date: 22 November 2016

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1503.01993

zbMATH Keywords

algorithmcomputational complexitynumerical exampleregularizationinverse problemsimage reconstructiontomographysparse representationdictionary learning

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Learning and adaptive systems in artificial intelligence (68T05) Biomedical imaging and signal processing (92C55) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

Nonnegative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications

Uses Software

• AIR tools
• TFOCS
• DLMRI-Lab
• PyHST2

Cites Work

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