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Repository offers results and data of objective quality assessment for compressed 360° images.

The data was used and presented in the article:

Data is stored separately for reference images:

• 1Hokkaido
• 5Hokkaido
• Atacama
• Campus
• Flowers
• LakeView

Six reference images can be seen for illustration below:

According to the level of compression, each image was compressed in a range of six different Quantization Parameter (QP) settings. Considering four compression algorithms, we obtained 24 compressed images per source image.

More information about parameters, image sources and compression software can be found in the mentioned conference article.

In the case of using a dataset, please cite the article

@INPROCEEDINGS{9764941,
  author={Simka, Marek and Kufa, Jan and Polak, Ladislav},
  booktitle={2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)}, 
  title={Picture Quality of 360° Images Compressed by Emerging Compression Algorithms}, 
  year={2022},
  volume={},
  number={},
  pages={1-4},
  doi={10.1109/RADIOELEKTRONIKA54537.2022.9764941}}

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

• Marek Simka ([email protected]) and Ladislav Polak ([email protected])
• Department of Radio Electronics, Brno University of Technology, Czech Republic
• Create 23.1.2023