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## pylibjpeg
A Python 3.8+ framework for decoding JPEG images and decoding/encoding RLE datasets, with a focus on providing support for [pydicom](https://github.com/pydicom/pydicom).
### Installation
#### Installing the current release
```
pip install pylibjpeg
```
##### Installing extra requirements
The package can be installed with extra requirements to enable support for JPEG (with `libjpeg`), JPEG 2000 (with `openjpeg`) and Run-Length Encoding (RLE) (with `rle`), respectively:
```
pip install pylibjpeg[libjpeg,openjpeg,rle]
```
Or alternatively with just `all`:
```
pip install pylibjpeg[all]
```
#### Installing the development version
Make sure [Git](https://git-scm.com/) is installed, then
```bash
git clone https://github.com/pydicom/pylibjpeg
python -m pip install pylibjpeg
```
### Plugins
One or more plugins are required before *pylibjpeg* is able to handle JPEG images or RLE datasets. To handle a given format or DICOM Transfer Syntax
you first have to install the corresponding package:
#### Supported Image Formats
|Format |Decode?|Encode?|Plugin | License |Based on |
|--- |------ |--- |--- |--- |--- |
|JPEG, JPEG-LS and JPEG XT|Yes |No |[pylibjpeg-libjpeg][1] | GPLv3 |[libjpeg][2] |
|JPEG 2000 |Yes |No |[pylibjpeg-openjpeg][3]| MIT |[openjpeg][4]|
|RLE Lossless (PackBits) |Yes |Yes |[pylibjpeg-rle][5] | MIT |- |
#### Supported DICOM Transfer Syntaxes
|UID | Description | Plugin |
|--- |--- |---- |
|1.2.840.10008.1.2.4.50 |JPEG Baseline (Process 1) |[pylibjpeg-libjpeg][1] |
|1.2.840.10008.1.2.4.51 |JPEG Extended (Process 2 and 4) |[pylibjpeg-libjpeg][1] |
|1.2.840.10008.1.2.4.57 |JPEG Lossless, Non-Hierarchical (Process 14) |[pylibjpeg-libjpeg][1] |
|1.2.840.10008.1.2.4.70 |JPEG Lossless, Non-Hierarchical, First-Order Prediction</br>(Process 14, Selection Value 1) | [pylibjpeg-libjpeg][1]|
|1.2.840.10008.1.2.4.80 |JPEG-LS Lossless |[pylibjpeg-libjpeg][1] |
|1.2.840.10008.1.2.4.81 |JPEG-LS Lossy (Near-Lossless) Image Compression |[pylibjpeg-libjpeg][1] |
|1.2.840.10008.1.2.4.90 |JPEG 2000 Image Compression (Lossless Only) |[pylibjpeg-openjpeg][3]|
|1.2.840.10008.1.2.4.91 |JPEG 2000 Image Compression |[pylibjpeg-openjpeg][3]|
|1.2.840.10008.1.2.4.201|High-Throughput JPEG 2000 Image Compression (Lossless Only) |[pylibjpeg-openjpeg][3]|
|1.2.840.10008.1.2.4.202|High-Throughput JPEG 2000 with RPCL Options Image Compression (Lossless Only) |[pylibjpeg-openjpeg][3]|
|1.2.840.10008.1.2.4.203|High-Throughput JPEG 2000 Image Compression |[pylibjpeg-openjpeg][3]|
|1.2.840.10008.1.2.5 |RLE Lossless |[pylibjpeg-rle][5] |
If you're not sure what the dataset's *Transfer Syntax UID* is, it can be
determined with:
```python
>>> from pydicom import dcmread
>>> ds = dcmread('path/to/dicom_file')
>>> ds.file_meta.TransferSyntaxUID.name
```
[1]: https://github.com/pydicom/pylibjpeg-libjpeg
[2]: https://github.com/thorfdbg/libjpeg
[3]: https://github.com/pydicom/pylibjpeg-openjpeg
[4]: https://github.com/uclouvain/openjpeg
[5]: https://github.com/pydicom/pylibjpeg-rle
### Usage
#### Decoding
##### With pydicom
Assuming you have *pydicom* v2.1+ and suitable plugins installed:
```python
from pydicom import dcmread
from pydicom.data import get_testdata_file
# With the pylibjpeg-libjpeg plugin
ds = dcmread(get_testdata_file('JPEG-LL.dcm'))
jpg_arr = ds.pixel_array
# With the pylibjpeg-openjpeg plugin
ds = dcmread(get_testdata_file('JPEG2000.dcm'))
j2k_arr = ds.pixel_array
# With the pylibjpeg-rle plugin and pydicom v2.2+
ds = dcmread(get_testdata_file('OBXXXX1A_rle.dcm'))
# pydicom defaults to the numpy handler for RLE so need
# to explicitly specify the use of pylibjpeg
ds.decompress("pylibjpeg")
rle_arr = ds.pixel_array
```
##### Standalone JPEG decoding
You can also just use *pylibjpeg* to decode JPEG images to a [numpy ndarray](https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html), provided you have a suitable plugin installed:
```python
from pylibjpeg import decode
# Can decode using the path to a JPG file as str or path-like
arr = decode('filename.jpg')
# Or a file-like...
with open('filename.jpg', 'rb') as f:
arr = decode(f)
# Or bytes...
with open('filename.jpg', 'rb') as f:
arr = decode(f.read())
```
#### Encoding
##### With pydicom
Assuming you have *pydicom* v2.2+ and suitable plugins installed:
```python
from pydicom import dcmread
from pydicom.data import get_testdata_file
from pydicom.uid import RLELossless
ds = dcmread(get_testdata_file("CT_small.dcm"))
# Encode in-place using RLE Lossless and update the dataset
# Updates the Pixel Data, Transfer Syntax UID and Planar Configuration
ds.compress(uid)
# Save compressed
ds.save_as("CT_small_rle.dcm")
```
Raw data
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"description": "<p align=\"center\">\n<a href=\"https://github.com/pydicom/pylibjpeg/actions?query=workflow%3Aunit-tests\"><img alt=\"Build status\" src=\"https://github.com/pydicom/pylibjpeg/workflows/unit-tests/badge.svg\"></a>\n<a href=\"https://codecov.io/gh/pydicom/pylibjpeg\"><img alt=\"Test coverage\" src=\"https://codecov.io/gh/pydicom/pylibjpeg/branch/main/graph/badge.svg\"></a>\n<a href=\"https://pypi.org/project/pylibjpeg/\"><img alt=\"PyPI versions\" src=\"https://img.shields.io/pypi/v/pylibjpeg\"></a>\n<a href=\"https://www.python.org/\"><img alt=\"Python versions\" src=\"https://img.shields.io/pypi/pyversions/pylibjpeg.svg\"></a>\n<a href=\"https://github.com/psf/black\"><img alt=\"Code style: black\" src=\"https://img.shields.io/badge/code%20style-black-000000.svg\"></a>\n</p>\n\n## pylibjpeg\n\nA Python 3.8+ framework for decoding JPEG images and decoding/encoding RLE datasets, with a focus on providing support for [pydicom](https://github.com/pydicom/pydicom).\n\n\n### Installation\n#### Installing the current release\n\n```\npip install pylibjpeg\n```\n\n##### Installing extra requirements\n\nThe package can be installed with extra requirements to enable support for JPEG (with `libjpeg`), JPEG 2000 (with `openjpeg`) and Run-Length Encoding (RLE) (with `rle`), respectively:\n\n```\npip install pylibjpeg[libjpeg,openjpeg,rle]\n```\n\nOr alternatively with just `all`:\n\n```\npip install pylibjpeg[all]\n```\n\n#### Installing the development version\n\nMake sure [Git](https://git-scm.com/) is installed, then\n```bash\ngit clone https://github.com/pydicom/pylibjpeg\npython -m pip install pylibjpeg\n```\n\n### Plugins\n\nOne or more plugins are required before *pylibjpeg* is able to handle JPEG images or RLE datasets. To handle a given format or DICOM Transfer Syntax\nyou first have to install the corresponding package:\n\n#### Supported Image Formats\n|Format |Decode?|Encode?|Plugin | License |Based on |\n|--- |------ |--- |--- |--- |--- |\n|JPEG, JPEG-LS and JPEG XT|Yes |No |[pylibjpeg-libjpeg][1] | GPLv3 |[libjpeg][2] |\n|JPEG 2000 |Yes |No |[pylibjpeg-openjpeg][3]| MIT |[openjpeg][4]|\n|RLE Lossless (PackBits) |Yes |Yes |[pylibjpeg-rle][5] | MIT |- |\n\n#### Supported DICOM Transfer Syntaxes\n\n|UID | Description | Plugin |\n|--- |--- |---- |\n|1.2.840.10008.1.2.4.50 |JPEG Baseline (Process 1) |[pylibjpeg-libjpeg][1] |\n|1.2.840.10008.1.2.4.51 |JPEG Extended (Process 2 and 4) |[pylibjpeg-libjpeg][1] |\n|1.2.840.10008.1.2.4.57 |JPEG Lossless, Non-Hierarchical (Process 14) |[pylibjpeg-libjpeg][1] |\n|1.2.840.10008.1.2.4.70 |JPEG Lossless, Non-Hierarchical, First-Order Prediction</br>(Process 14, Selection Value 1) | [pylibjpeg-libjpeg][1]|\n|1.2.840.10008.1.2.4.80 |JPEG-LS Lossless |[pylibjpeg-libjpeg][1] |\n|1.2.840.10008.1.2.4.81 |JPEG-LS Lossy (Near-Lossless) Image Compression |[pylibjpeg-libjpeg][1] |\n|1.2.840.10008.1.2.4.90 |JPEG 2000 Image Compression (Lossless Only) |[pylibjpeg-openjpeg][3]|\n|1.2.840.10008.1.2.4.91 |JPEG 2000 Image Compression |[pylibjpeg-openjpeg][3]|\n|1.2.840.10008.1.2.4.201|High-Throughput JPEG 2000 Image Compression (Lossless Only) |[pylibjpeg-openjpeg][3]|\n|1.2.840.10008.1.2.4.202|High-Throughput JPEG 2000 with RPCL Options Image Compression (Lossless Only) |[pylibjpeg-openjpeg][3]|\n|1.2.840.10008.1.2.4.203|High-Throughput JPEG 2000 Image Compression |[pylibjpeg-openjpeg][3]|\n|1.2.840.10008.1.2.5 |RLE Lossless |[pylibjpeg-rle][5] |\n\nIf you're not sure what the dataset's *Transfer Syntax UID* is, it can be\ndetermined with:\n```python\n>>> from pydicom import dcmread\n>>> ds = dcmread('path/to/dicom_file')\n>>> ds.file_meta.TransferSyntaxUID.name\n```\n\n[1]: https://github.com/pydicom/pylibjpeg-libjpeg\n[2]: https://github.com/thorfdbg/libjpeg\n[3]: https://github.com/pydicom/pylibjpeg-openjpeg\n[4]: https://github.com/uclouvain/openjpeg\n[5]: https://github.com/pydicom/pylibjpeg-rle\n\n\n### Usage\n#### Decoding\n##### With pydicom\nAssuming you have *pydicom* v2.1+ and suitable plugins installed:\n\n```python\nfrom pydicom import dcmread\nfrom pydicom.data import get_testdata_file\n\n# With the pylibjpeg-libjpeg plugin\nds = dcmread(get_testdata_file('JPEG-LL.dcm'))\njpg_arr = ds.pixel_array\n\n# With the pylibjpeg-openjpeg plugin\nds = dcmread(get_testdata_file('JPEG2000.dcm'))\nj2k_arr = ds.pixel_array\n\n# With the pylibjpeg-rle plugin and pydicom v2.2+\nds = dcmread(get_testdata_file('OBXXXX1A_rle.dcm'))\n# pydicom defaults to the numpy handler for RLE so need\n# to explicitly specify the use of pylibjpeg\nds.decompress(\"pylibjpeg\")\nrle_arr = ds.pixel_array\n```\n\n##### Standalone JPEG decoding\nYou can also just use *pylibjpeg* to decode JPEG images to a [numpy ndarray](https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html), provided you have a suitable plugin installed:\n```python\nfrom pylibjpeg import decode\n\n# Can decode using the path to a JPG file as str or path-like\narr = decode('filename.jpg')\n\n# Or a file-like...\nwith open('filename.jpg', 'rb') as f:\n arr = decode(f)\n\n# Or bytes...\nwith open('filename.jpg', 'rb') as f:\n arr = decode(f.read())\n```\n\n#### Encoding\n##### With pydicom\n\nAssuming you have *pydicom* v2.2+ and suitable plugins installed:\n\n```python\nfrom pydicom import dcmread\nfrom pydicom.data import get_testdata_file\nfrom pydicom.uid import RLELossless\n\nds = dcmread(get_testdata_file(\"CT_small.dcm\"))\n\n# Encode in-place using RLE Lossless and update the dataset\n# Updates the Pixel Data, Transfer Syntax UID and Planar Configuration\nds.compress(uid)\n\n# Save compressed\nds.save_as(\"CT_small_rle.dcm\")\n```\n\n",
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