MSU HDR Video Reconstruction Benchmark 2022

The most comprehensive comparison of HDR video reconstruction methods

Key features of the Benchmark

  • Comparison of 16 methods of HDR video reconstruction
  • A new private dataset for testing. 20 different scenes
  • 10 metrics for restoration quality assessment
  • HDR video player for self-assessment of quality
  • Subjective comparison

Results

In this section, you can quickly evaluate the quality of the algorithms yourself. The video player below show you the HDR video if your device supports this technology. We recommend opening this video via Google Chrome or Safari.

Method:

Leaderboard

You can see the full leaderboard here.

Your method submission

Verify the restoration ability of your HDR Video Reconstruction algorithm and compare it with state-of-the-art solutions. You can see information about all other participants here.

  1. Download input data
    • Download SDR input videos as sequences of frames in PNG format.
  2. Apply your algorithm
    • Apply your HDR Image or Video reconstruction algorithm
  3. Send us result to <itm-benchmark@videoprocessing.ai >

If you would like to participate, read the full submission rules here.

Contacts

For questions and propositions, please contact us: itm-benchmark@videoprocessing.ai

Cite us

@inproceedings{10.1145/3653876.3653896,
author = {Voronin, Mikhail and Safonov, Nickolay and Vatolin, Dmitriy},
title = {A New HDR Video Reconstruction Benchmark, Dataset and Metric},
year = {2024},
isbn = {9798400709029},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3653876.3653896},
doi = {10.1145/3653876.3653896},
booktitle = {Proceedings of the 2024 8th International Conference on Digital Signal Processing},
pages = {27–32},
numpages = {6},
keywords = {hdr reconstruction, inverse-tone-mapping, video quality assessment},
location = {Hangzhou, China},
series = {ICDSP '24}
}

Learn more

Written on October 15, 2024