No CrossRef data available.
Article contents
Library-Based Sparse Interpolation and Super-Resolution of S/TEM Images of Biological and Material Nano-Structures
Published online by Cambridge University Press: 25 July 2016
Abstract
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
![Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'](https://static.cambridge.org/content/id/urn%3Acambridge.org%3Aid%3Aarticle%3AS1431927616008072/resource/name/firstPage-S1431927616008072a.jpg)
- Type
- Abstract
- Information
- Microscopy and Microanalysis , Volume 22 , Supplement S3: Proceedings of Microscopy & Microanalysis 2016 , July 2016 , pp. 1446 - 1447
- Copyright
- © Microscopy Society of America 2016
References
References:
[1]
Guillemot, C. & Le Meur, O.
“Image inpainting: Overview and recent advances,”.
Signal Processing Magazine, IEEE
31
1, pp. 127–144, Jan 2014.Google Scholar
[2]
Park, S. C., Park, M. K. & Kang, M. G.
“Super-resolution image reconstruction: a technical overview,”.
Signal Processing Magazine, IEEE
20
3, pp. 21–36, 2003.Google Scholar
[3]
Sreehari, S., Venkatakrishnan, S., Wohlberg, B., Drummy, L. F., Simmons, J. P. & Bouman, C. A. “Plug-and-play priors for bright field electron tomography and sparse interpolation,” arXiv preprint arXiv:1512.07331, 2015.Google Scholar
[4]
Gabay, D. & Mercier, B.
“A dual algorithm for the solution of nonlinear variational problems via finite element approxi- mation,”.
Computers & Mathematics with Applications
2
1, pp. 17–40, 1976.Google Scholar
[5] This work was supported by AFOSR/MURI grant #FA9550-12-1-0458, by UES Inc.Google Scholar