Efficient, Quantitative Numerical Methods for Statistical Image Deconvolution and Denoising
2020-06-10 | book part. A publication with affiliation to the University of Göttingen.
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Cite this publication
Efficient, Quantitative Numerical Methods for Statistical Image Deconvolution and Denoising
Luke, D. R. ; Charitha, C.; Shefi, R.& Malitsky, Y. (2020)
In:Salditt, Tim; Egner, Alexander; Luke, D. Russell (Eds.), Nanoscale Photonic Imaging pp. 313-338. DOI: https://doi.org/10.1007/978-3-030-34413-9_12
Documents & Media
Details
- Authors
- Luke, D. Russell ; Charitha, C.; Shefi, Ron; Malitsky, Yura
- Editors
- Salditt, Tim ; Egner, Alexander ; Luke, D. Russell
- Issue Date
- 10-June-2020
- Project
- SFB 755: Nanoscale Photonic Imaging
- Organization
- Institut für Röntgenphysik ; Institut für Numerische und Angewandte Mathematik
- Working Group
- RG Luke (Continuous Optimization, Variational Analysis and Inverse Problems)
- Series
- Topics in Applied Physics
- ISBN
- 978-3-030-34412-2
- eISBN
- 978-3-030-34413-9
- Subject(s)
- SFB 755
