This repository contains the official implementation of the paper "Perceptual Assessment and Optimization of HDR Image Rendering " by Peibei Cao, Rafal K. Mantiuk, and Kede Ma, IEEE Conference on Computer Vision and Pattern Recognition, 2024.
- python>=3.6
- Please put reference HDR images in
./assessment/image/ref/
, and test HDR images in./assessment/image/test/
. - Please put the name of test HDR images in
./assessment/samples.txt
. - To evaluate the test HDR image:
python ./assessment/HDRMetric.py
Please make sure the LDR sequence is perfectly aligned with the reference sequence.
from HDRloss import hdrLoss
D = hdrLoss()
HDR_Loss = D(X, Y)
HDR_Loss.backward()
Please contact peibeicao2-c@my.cityu.edu.hk if you have any problem with the code.
@article{Cao2023Perceptual,
title={Perceptual Assessment and Optimization of High Dynamic Range Image Rendering},
author={Peibei Cao and Rafał K. Mantiuk and Kede Ma},
journal={ArXiv},
year={2023},
volume={abs/2310.12877},
url={https://api.semanticscholar.org/CorpusID:264306134}
}