HDRutils 0.2

Utility functions for perfming basic operations on HDR images, including merging and deghosting

HDRutils-pip

Some utility functions to generate HDR images from a sequence of exposure time or gain modulated images.

Installation

To download HDRUtils, either fork this github repo or simply use Pypi via pip:

pip install HDRutils

If you forked this repository, install the dependencies using pip:

pip install -r requirements.txt

Additional dependency

You will need the FreeImage plugin for reading and writing OpenEXR images:

imageio_download_bin freeimage

Usage

Just import HDRutils and call the required functions

Reading and writing

Simple wrapper functions for imageio's imread and imwrite are provided to set appropriate flags for HDR data. You can even call imread on RAW file formats:

import HDRutils

raw_file = 'example_raw.arw'
img_RGB = HDRutils.imread(raw_file)

hdr_file = 'example.exr'
img = HDRutils.imread(raw_file)

HDRutils.imwrite('rgb.png', img_RGB)
HDRutils.imwrite('output_filename.exr', img)

Merge input images

The rawpy wrapper is used to read RAW images. Noise-aware merging is performed using the Poisson-noise optimal estimator. The generated HDR image is linearly related to the scene radiance

files = ['file1.dng', 'file2.dng', 'file3.dng']		# RAW input files
HDR_img = HDRutils.merge(files)
HDRutils.imwrite('merged.exr', HDR_img)

The default function processes each image individually using libraw and then merges the RGB images. This behaviour can be overriden to merge RAW bayer image by setting the flag demosaic_first=False.

Deghosting

TODO

Citation

If you find this package useful, please cite

@inproceedings{hanji2020noise,
  title={Noise-Aware Merging of High Dynamic Range Image Stacks Without Camera Calibration},
  author={Param Hanji and Fangcheng Zhong and Rafal K. Mantiuk},
  year={2020},
  booktitle={Computer Vision - {ECCV} 2020 Workshops - Glasgow, UK, August 23-28, 2020, Proceedings, Part {III}},
  url={https://doi.org/10.1007/978-3-030-67070-2\_23}
}