pylibjpeg-libjpeg

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Author: pylibjpeg-libjpeg contributors

Maintainer: scaramallion

Requires Python: >=3.9,<4.0

Classifiers

Development Status

5 - Production/Stable

Intended Audience

Developers
Healthcare Industry
Science/Research

License

OSI Approved :: GNU General Public License v3 (GPLv3)
Other/Proprietary License

Natural Language

English

Operating System

MacOS :: MacOS X
Microsoft :: Windows
POSIX :: Linux

Programming Language

C++
Python :: 3
Python :: 3.9
Python :: 3.10
Python :: 3.11
Python :: 3.12
Python :: 3.13

Topic

Scientific/Engineering :: Medical Science Apps.
Software Development :: Libraries

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.

Installation

Dependencies

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

Supported JPEG Formats

Decoding

ISO/IEC Standard	ITU Equivalent	JPEG Format
10918	T.81	JPEG
14495	T.87	JPEG-LS
18477		JPEG XT

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

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:

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')

Wheel compatibility matrix

Platform	CPython 3.9	CPython 3.10	CPython 3.11	CPython 3.12	CPython 3.13
macosx_10_13_x86_64
macosx_10_9_x86_64
macosx_11_0_arm64
manylinux2014_aarch64
manylinux2014_x86_64
manylinux_2_17_aarch64
manylinux_2_17_x86_64
win32
win_amd64