Despike
Python package to remove spikes in 2D images
Desciption
The spikes in 2D-images correspond to high-energy pixels generated by cosmic rays, sensor noise or dead pixels. They use to have values very different from the rest of their neighboor.
To find them, we use a moving box (5×5 pixels by default) on the image and we compare the mean/median of this sub-image to the central pixel. If the value is n (3 by default) times larger than the observed standard deviation we use the median value a the surrounding pixels (8 pixels by default) to replace the spike.
Install
With pip:
$ pip install despikeWith the source files:
$ git clone https://github.com/seignovert/despike.git
$ cd despike ; python setup.py installUsage
>>> import despike
>>> despike.spikes(img) # Search the location of spikes in the image
>>> despike.clean(img) # Clean the image from spikesAn example can be find in this Jupyter NoteBook.
1 maintainer
Metadata
1 maintainer
Release files for despike 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| despike-0.1.0.tar.gz | 158.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| despike-0.1.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 162.9 kB
Release files / despike-0.1.0.tar.gz
| Download URL | despike-0.1.0.tar.gz |
|---|---|
| Size | 158.0 kB |
| Tags | Source |
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Release files / despike-0.1.0-py2.py3-none-any.whl
| Download URL | despike-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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