<p align="center">
<a href="https://github.com/pydicom/pylibjpeg-libjpeg/actions?query=workflow%3Aunit-tests"><img alt="Build status" src="https://github.com/pydicom/pylibjpeg-libjpeg/workflows/unit-tests/badge.svg"></a>
<a href="https://codecov.io/gh/pydicom/pylibjpeg-libjpeg"><img alt="Test coverage" src="https://codecov.io/gh/pydicom/pylibjpeg-libjpeg/branch/main/graph/badge.svg"></a>
<a href="https://pypi.org/project/pylibjpeg-libjpeg/"><img alt="PyPI versions" src="https://img.shields.io/pypi/v/pylibjpeg-libjpeg"></a>
<a href="https://www.python.org/"><img alt="Python versions" src="https://img.shields.io/pypi/pyversions/pylibjpeg-libjpeg"></a>
<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
</p>
## pylibjpeg-libjpeg
A Python 3.8+ wrapper for Thomas Richter's
[libjpeg](https://github.com/thorfdbg/libjpeg), with a focus on use as a
plugin for [pylibjpeg](http://github.com/pydicom/pylibjpeg).
Linux, MacOS and Windows are all supported.
### Installation
#### Dependencies
[NumPy](http://numpy.org)
#### Installing the current release
```bash
pip install pylibjpeg-libjpeg
```
#### Installing the development version
Make sure [Python](https://www.python.org/) and [Git](https://git-scm.com/) are installed. For Windows, you also need to install
[Microsoft's C++ Build Tools](https://visualstudio.microsoft.com/thank-you-downloading-visual-studio/?sku=BuildTools&rel=16).
```bash
git clone --recurse-submodules https://github.com/pydicom/pylibjpeg-libjpeg
python -m pip install pylibjpeg-libjpeg
```
### Supported JPEG Formats
#### Decoding
| ISO/IEC Standard | ITU Equivalent | JPEG Format |
| --- | --- | --- |
| [10918](https://www.iso.org/standard/18902.html) | [T.81](https://www.itu.int/rec/T-REC-T.81/en) | [JPEG](https://jpeg.org/jpeg/index.html) |
| [14495](https://www.iso.org/standard/22397.html) | [T.87](https://www.itu.int/rec/T-REC-T.87/en) | [JPEG-LS](https://jpeg.org/jpegls/index.html) |
| [18477](https://www.iso.org/standard/62552.html) | | [JPEG XT](https://jpeg.org/jpegxt/) |
#### Encoding
Encoding of JPEG images is not currently supported
### Supported Transfer Syntaxes
#### Decoding
| UID | Description |
| --- | --- |
| 1.2.840.10008.1.2.4.50 | JPEG Baseline (Process 1) |
| 1.2.840.10008.1.2.4.51 | JPEG Extended (Process 2 and 4) |
| 1.2.840.10008.1.2.4.57 | JPEG Lossless, Non-Hierarchical (Process 14) |
| 1.2.840.10008.1.2.4.70 | JPEG Lossless, Non-Hierarchical, First-Order Prediction (Process 14 [Selection Value 1]) |
| 1.2.840.10008.1.2.4.80 | JPEG-LS Lossless |
| 1.2.840.10008.1.2.4.81 | JPEG-LS Lossy (Near-Lossless) Image Compression |
### Usage
#### With pylibjpeg and pydicom
```python
from pydicom import dcmread
from pydicom.data import get_testdata_file
ds = dcmread(get_testdata_file('JPEG-LL.dcm'))
arr = ds.pixel_array
```
#### Standalone JPEG decoding
You can also decode JPEG images to a [numpy ndarray][1]:
[1]: https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.html
```python
from libjpeg import decode
with open('filename.jpg', 'rb') as f:
# Returns a numpy array
arr = decode(f.read())
# Or simply...
arr = decode('filename.jpg')
```
Raw data
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