https://github.com/jtschwar/removing-stripe-artifacts
Removing Scratches, Stripes, and Curtaining Artifacts in Micrographs
https://github.com/jtschwar/removing-stripe-artifacts
image-processing
Last synced: about 1 year ago
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Removing Scratches, Stripes, and Curtaining Artifacts in Micrographs
- Host: GitHub
- URL: https://github.com/jtschwar/removing-stripe-artifacts
- Owner: jtschwar
- Created: 2019-08-20T14:57:06.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2020-07-21T21:11:03.000Z (almost 6 years ago)
- Last Synced: 2025-04-03T23:32:55.633Z (about 1 year ago)
- Topics: image-processing
- Language: Python
- Homepage:
- Size: 4.92 MB
- Stars: 14
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Remove Stripes, Scratches, and Curtaining Artifacts from Micrographs
The destripe script is designed to remove structured artifacts commonly found in electron microscopy data.
For a more detailed discussion, please see the publication associated with this package:
**"Removing Stripes, Scratches, and Curtaining with Nonrecoverable Compressed Sensing", Microscopy and Microanalysis (2019), DOI: 10.1017/S1431927619000254**
## Getting Started
The code can be acquired by cloning this repository to your computer, using the green "clone or download" button, or by typing into the command line:
`git clone https://github.com/jtschwar/Removing-Stripe-Artifacts.git`
The parameters can be defined in main.py file through the GUI. Simply run the file and choose an orientation/size for the missing of the missing wedge that will remove the artifacts in Fourier space.
### Dependencies
The list of dependencies for destripe is stored in the requirements text file. They can all be installed with the following code:
`pip install -r requirements.txt`
## Contribute
We hope you find this package useful in advancing your own research.
If this code is helpful to you and your work, please consider citing the associated publication: "Removing Stripes, Scratches, and Curtaining with Nonrecoverable Compressed Sensing", Microscopy and Microanalysis (2019), DOI: 10.1017/S1431927619000254
If you have any comments or concerns, feel free to open an issue.
Issue Tracker: https://github.com/jtschwar/Removing-Stripe-Artifacts/issues