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[ISCAS2024, TCSVT2024] A Banding Artifact Noticeable Database for Banding Detection and Quality Assessment

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BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment

How banding artifacts affect the viewing quality?

Introduction

This is a repository of the paper "BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment" (authored by Zijian Chen, Wei Sun, Jun Jia, Fangfang Lu, Zicheng Zhang, Jing Liu, Ru Huang, Xiongkuo Min*, and Guangtao Zhai*. ) and its early work "FS-BAND: A Frequency-Sensitive Banding Detector" (accepted by ISCAS2024)

We constructed so far the largest banding-affected database, named Banding Artifact Noticeable 2k Database (BAND-2k). It contains 2,000 distorted images clipped from over 870 source videos with four encoding schemes: H.264, H.265, VP9, and bit-depth manipulation. A total of 44,371 scores were collected by 23 non-experienced subjects in an offline laboratory environment.


🚩 Updates/Changelog

  • We are currently organizing the code for BAND-2k may bring as soon as possible.
  • Jan 08, 2024. Reupdate the BAND-2k database to Onedrive and Baidu Netdisk (fixed the filename errors).

Visualization

Sample images in BAND-2k Database

The diversity of quantization means

Database Link

We have uploaded the BAND-2k database to both OneDrive and Baidu Netdisk, and the download links are as follows: OneDrive;

Baidu Netdisk Code: knnn

Citation

Please feel free to cite our paper if you use the BAND-2k database in your research:

@article{chen2024band,
  author={Chen, Zijian and Sun, Wei and Jia, Jun and Lu, Fangfang and Zhang, Zicheng and Liu, Jing and Huang, Ru and Min, Xiongkuo and Zhai, Guangtao},
  journal={IEEE Transactions on Circuits and Systems for Video Technology}, 
  title={BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment}, 
  year={2024},
  pages={1-16},
  doi={10.1109/TCSVT.2024.3366522}}
}
@article{chen2023fs,
  title={FS-BAND: A Frequency-Sensitive Banding Detector},
  author={Chen, Zijian and Sun, Wei and Zhang, Zicheng and Huang, Ru and Lu, Fangfang and Min, Xiongkuo and Zhai, Guangtao and Zhang, Wenjun},
  journal={arXiv preprint arXiv:2311.18216},
  year={2023}
}

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[ISCAS2024, TCSVT2024] A Banding Artifact Noticeable Database for Banding Detection and Quality Assessment

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