Skip to content

[TIP 2022] Confusing image quality assessment: Towards better augmented reality experience

License

Notifications You must be signed in to change notification settings

DuanHuiyu/ARIQA

Repository files navigation

ARIQA

This is the official repo of the paper Confusing Image Quality Assessment: Towards Better Augmented Reality Experience:

@article{duan2022confusing,
    title={Confusing image quality assessment: Towards better augmented reality experience},
    author={Duan, Huiyu and Min, Xiongkuo and Zhu, Yucheng and Zhai, Guangtao and Yang, Xiaokang and Le Callet, Patrick},
    journal={IEEE Transactions on Image Processing (TIP)},
    year={2022}
}

Database

The constructed CFIQA database and ARIQA database can be accessed using the links below.

Subjective Data Process

The subjective data process codes can be found in code1_subjective_data_process.

baselines

The baseline traditional models can be found in code2_baselines.

cfiqa_ariqa

The proposed CFIQA and ARIQA models can be found in code3_cfiqa_ariqa.

calculate_performance

The metrics for measuring performance of IQA models can be found in code4_calculate_performance.

Contact

If you have any question, please contact huiyuduan@sjtu.edu.cn

About

[TIP 2022] Confusing image quality assessment: Towards better augmented reality experience

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published