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Showing content from https://github.com/pydicom/pylibjpeg-libjpeg below:

pydicom/pylibjpeg-libjpeg: A JPEG, JPEG-LS and JPEG XT plugin for pylibjpeg

A Python 3.8+ wrapper for Thomas Richter's libjpeg, with a focus on use as a plugin for pylibjpeg.

Linux, MacOS and Windows are all supported.

NumPy

Installing the current release 
pip install pylibjpeg-libjpeg
Installing the development version

Make sure Python and Git are installed. For Windows, you also need to install Microsoft's C++ Build Tools.

git clone --recurse-submodules https://github.com/pydicom/pylibjpeg-libjpeg
python -m pip install pylibjpeg-libjpeg

Encoding of JPEG images is not currently supported

Supported Transfer Syntaxes 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 With pylibjpeg and pydicom 
from pydicom import dcmread
from pydicom.data import get_testdata_file

ds = dcmread(get_testdata_file('JPEG-LL.dcm'))
arr = ds.pixel_array

You can also decode JPEG images to a numpy ndarray:

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')

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