Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-28T10:46:25.987Z Has data issue: false hasContentIssue false

Adaptive Biharmonic In-Painting for Sparse Acquisition Using Variance Frames

Published online by Cambridge University Press:  04 August 2017

Andrew Barnum
Affiliation:
Department of Physics, Portland State University, Portland OR, 97201.
Jun Jiao
Affiliation:
Department of Physics, Portland State University, Portland OR, 97201. Department of Mechanical and Materials Engineering, Portland State University, Portland OR, 97201.

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Copyright
© Microscopy Society of America 2017 

References

[1] Binev, P., et al Compressed Sensing and Electron Microscopy. in Modeling Nanoscale Imaging in Electron Microscopy, T. Vogtet al. Eds.Springer 2012.Google Scholar
[2] van der Walt, St’efan, et al scikit-image: image processing in Python. PeerJ 2 2014 e453.CrossRefGoogle ScholarPubMed
[3] Wang, Zhou, et al Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing 13 2004 600612.CrossRefGoogle ScholarPubMed