Skip to main content

tools for converting HDR images between different formats

Project description

HDR Format Conversion Tool

简体中文 | English

Important Note: In alpha stage, API may change frequently. Currently, color conversion may be incorrect. This project is still in a very early stage, please submit issues or contact the author directly if you encounter any problems.

API Reference: https://jackchou00.github.io/hdr-conversion

Project Overview

This project provides Python-based research on HDR format parsing and writing, supporting parsing, writing, and conversion of multiple formats including UltraHDR, Adaptive Gainmap (ISO 21496-1), and pure PQ/HLG formats (ISO 22028-5).

Note: This project is for research and learning purposes only and does not aim for production readiness.

Getting Started

To install, using uv (recommended):

uv add hdr-conversion

or use pip:

pip install hdr-conversion

or install directly from the develop branch:

uv add git+https://github.com/Jackchou00/hdr-conversion.git --branch develop

Or use pip

pip install git+https://github.com/Jackchou00/hdr-conversion.git@develop

The package can be imported as follows:

import hdrconv

Features

Parsing

For UltraHDR and Adaptive Gainmap (ISO 21496-1) formats, supports structured extraction of:

  • Main image data
  • Gainmap image data
  • Gainmap metadata

For pure PQ/HLG HEIF/AVIF formats (ISO 22028-5), supports extraction of image data and related metadata.

Experimental support for iOS 26 HDR screenshot parsing.

Experimental support for HEIF from iPhone camera using Apple Headroom.

Writing

Writes image data and structured metadata into corresponding formats.

UltraHDR and Adaptive Gainmap JPEG formats are implemented through manual byte stream editing.

pure PQ/HLG AVIF formats are implemented through imagecodecs.

Conversion

Calculates alternate images based on metadata to enable conversion between Gainmap and pure HDR formats.

Experimental support for ICC profile-based color conversion.

Reference Standards

License

MIT. Please refer to the respective LICENSE files for specific format and dependency details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hdr_conversion-0.1.5.tar.gz (102.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hdr_conversion-0.1.5-py3-none-any.whl (43.0 kB view details)

Uploaded Python 3

File details

Details for the file hdr_conversion-0.1.5.tar.gz.

File metadata

  • Download URL: hdr_conversion-0.1.5.tar.gz
  • Upload date:
  • Size: 102.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for hdr_conversion-0.1.5.tar.gz
Algorithm Hash digest
SHA256 bcd59b5e6d6d60d8783349d06f70d56d63cc93ff29a4958eb442cb78ed138ec1
MD5 a01f1292b245ddc212e756f67cd4c51c
BLAKE2b-256 aa1357cbd14bd06bb0e8a798c527cf15a36961c051b170ff8888e0ffd5510e49

See more details on using hashes here.

File details

Details for the file hdr_conversion-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: hdr_conversion-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 43.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for hdr_conversion-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 47bb13dabe3cd419cfef89a46f4ac7a606f317583f68c4a07cd9893dfb3528fc
MD5 764b2b57ecadbff354ab2712157dd178
BLAKE2b-256 8ad0080a57d24bb7cc94ec7b41967f619b67da34b4859b5bb03342012885c776

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page