|
| | | | |
| | | |
| Stat |
Members: 3645
Articles: 2'500'096
Articles rated: 2609
19 April 2024 |
|
| | | | |
|
Article overview
| |
|
|
Removing Stripes, Scratches, and Curtaining with Non-Recoverable Compressed Sensing | | Jonathan Schwartz
; Yi Jiang
; Yongjie Wang
; Anthony Aiello
; Pallab Bhattacharya
; Hui Yuan
; Zetian Mi
; Nabil Bassim
; Robert Hovden
; | | Date: |
23 Jan 2019 | | Abstract: | Highly-directional image artifacts such as ion mill curtaining, mechanical
scratches, or image striping from beam instability degrade the interpretability
of micrographs. These unwanted, aperiodic features extend the image along a
primary direction and occupy a small wedge of information in Fourier space.
Deleting this wedge of data replaces stripes, scratches, or curtaining, with
more complex streaking and blurring artifacts-known within the tomography
community as missing wedge artifacts. Here, we overcome this problem by
recovering the missing region using total variation minimization, which
leverages image sparsity based reconstruction techniques-colloquially referred
to as compressed sensing-to reliably restore images corrupted by stripe like
features. Our approach removes beam instability, ion mill curtaining,
mechanical scratches, or any stripe features and remains robust at low
signal-to-noise. The success of this approach is achieved by exploiting
compressed sensings inability to recover directional structures that are highly
localized and missing in Fourier Space. | | Source: | arXiv, 1901.8001 | | Services: | Forum | Review | PDF | Favorites | |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser claudebot
|
| |
|
|
|
|
News, job offers and information for researchers and scientists:
| |
REGISTER