BVI-SR Database

BVI-SR contains 24 unique video sequences at a range of spatial resolutions up to UHD-1 (3840p). These sequences were used as the basis for a large-scale subjective experiment exploring the relationship between visual quality and spatial resolution when using three distinct spatial adaptation filters (including a CNN-based super-resolution method). The results demonstrate that while spatial resolution has a significant impact on mean opinion scores (MOS), no significant reduction in visual quality between UHD-1 and HD resolutions for the superresolution method is reported. A selection of image quality metrics were benchmarked on the subjective evaluations, and analysis indicates that VIF offers the best performance.

This dataset is published in support of the paper published by IEEE at: https://doi.org/10.1109/ICIP.2018.8451225, and available on the University of Bristol's repository at http://hdl.handle.net/1983/99d89816-e64c-4c75-bb8e-5c7e3015cae7

Creator(s) Fan Zhang, David Bull
Publication date 26 Mar 2020
Language eng
Publisher University of Bristol
Licence Non-Commercial Government Licence for public sector information
DOI 10.5523/bris.1gqlebyalf4ha25k228qxh5rqz
Complete download (zip) https://data.bris.ac.uk/datasets/tar/1gqlebyalf4ha25k228qxh5rqz.zip
Citation Fan Zhang, David Bull (2020): BVI-SR Database. https://doi.org/10.5523/bris.1gqlebyalf4ha25k228qxh5rqz
Total size 290.7 GiB

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