A Python wrapper for openjpeg, with a focus on use as a plugin for for pylibjpeg

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  • License: MIT License (MIT)
  • Author: pylibjpeg-openjpeg contributors
  • Maintainer: scaramallion
  • Tags dicom, pydicom, python, imaging, jpg, jpeg, jpeg2k, jpeg2000, pylibjpeg, openjpeg
  • Requires: Python >=3.8, <4.0
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Project description

Build status Test coverage PyPI versions Python versions Code style: black

pylibjpeg-openjpeg

A Python 3.8+ wrapper for openjpeg, with a focus on use as a plugin for pylibjpeg.

Linux, OSX and Windows are all supported.

Installation

Dependencies

NumPy

Installing the current release

python -m pip install -U pylibjpeg-openjpeg

Installing the development version

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

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

Supported JPEG Formats

Decoding

ISO/IEC Standard ITU Equivalent JPEG Format
15444-1 T.800 JPEG 2000

Encoding

Encoding of NumPy ndarrays is supported for the following:

  • Array dtype: bool, uint8, int8, uint16, int16, uint32 and int32 (1-24 bit-depth only)
  • Array shape: (rows, columns) and (rows, columns, planes)
  • Number of rows/columns: up to 65535
  • Number of planes: 1, 3 or 4

Transfer Syntaxes

UID Description
1.2.840.10008.1.2.4.90 JPEG 2000 Image Compression (Lossless Only)
1.2.840.10008.1.2.4.91 JPEG 2000 Image Compression
1.2.840.10008.1.2.4.201 High-Throughput JPEG 2000 Image Compression (Lossless Only)
1.2.840.10008.1.2.4.202 High-Throughput JPEG 2000 with RPCL Options Image Compression (Lossless Only)
1.2.840.10008.1.2.4.203 High-Throughput JPEG 2000 Image Compression

Usage

With pylibjpeg and pydicom

from pydicom import dcmread
from pydicom.data import get_testdata_file

ds = dcmread(get_testdata_file('JPEG2000.dcm'))
arr = ds.pixel_array

Standalone JPEG decoding

You can also decode JPEG 2000 images to a numpy ndarray:

from openjpeg import decode

with open('filename.j2k', 'rb') as f:
    # Returns a numpy array
    arr = decode(f)

# Or simply...
arr = decode('filename.j2k')

Standalone JPEG encoding

Lossless encoding of RGB with multiple-component transformation:

import numpy as np
from openjpeg import encode

arr = np.random.randint(low=0, high=65535, size=(100, 100, 3), dtype="uint8")
encode(arr, photometric_interpretation=1)  # 1: sRGB

Lossy encoding of a monochrome image using compression ratios:

import numpy as np
from openjpeg import encode

arr = np.random.randint(low=-2**15, high=2**15 - 1, size=(100, 100), dtype="int8")
# You must determine your own values for `compression_ratios`
#   as these are for illustration purposes only
encode(arr, compression_ratios=[2, 4, 6])

Lossy encoding of a monochrome image using peak signal-to-noise ratios:

import numpy as np
from openjpeg import encode

arr = np.random.randint(low=-2**15, high=2**15 - 1, size=(100, 100), dtype="int8")
# You must determine your own values for `signal_noise_ratios`
#   as these are for illustration purposes only
encode(arr, signal_noise_ratios=[50, 80, 100])

See the docstring for the encode() function for full details.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for darcymason from gravatar.com darcymason Avatar for mrbean-bremen from gravatar.com mrbean-bremen Avatar for scaramallion from gravatar.com scaramallion

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: pylibjpeg-openjpeg contributors
  • Maintainer: scaramallion
  • Tags dicom, pydicom, python, imaging, jpg, jpeg, jpeg2k, jpeg2000, pylibjpeg, openjpeg
  • Requires: Python >=3.8, <4.0
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2.4.0

2.3.0

2.2.2 yanked

Reason this release was yanked:

Use v2.3.0 for numpy v2.0

2.2.1

2.2.0

2.1.1

This version

2.1.0

2.0.0

1.3.2

1.3.1

1.3.0

1.2.1

1.2.0

1.1.1

1.1.0

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