Mikhailiuk, A;
Perez-Ortiz, M;
Yue, D;
Suen, WS;
Mantiuk, R;
(2021)
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality.
IEEE Transactions on Multimedia
10.1109/TMM.2021.3076298.
(In press).
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Abstract
Increasing popularity of high-dynamic-range image and video content brings the need for metrics that could predict the severity of image impairments as seen on displays of different brightness levels and dynamic range. Such metrics should be trained and validated on a sufficiently large subjective image quality dataset to ensure robust performance. As the existing high-dynamic-range quality datasets are limited in size, we created a Unified Photometric Image Quality dataset (UPIQ) with over 4,000 images by realigning and merging existing high-dynamic-range and standard-dynamic-range datasets. The realigned quality scores share the same unified quality scale across all datasets. Such realignment was achieved by collecting additional cross-dataset quality comparisons and re-scaling data with a psychometric scaling method. Images in the proposed dataset are represented in absolute photometric and colorimetric units, corresponding to light emitted from a display. We use the new dataset to retrain existing HDR metrics and show that the dataset is sufficiently large for training deep architectures. We show the utility of the dataset on brightness aware image compression.
| Type: | Article |
|---|---|
| Title: | Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TMM.2021.3076298 |
| Publisher version: | https://doi.org/10.1109/TMM.2021.3076298 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | High Dynamic Range, Image Quality Dataset, Image Quality Metric |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10128617 |
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