Abstract
Underwater image enhancement (UIE) is essential for a high-quality underwater optical imaging system. While a number of UIE algorithms have been proposed in recent years, there is little study on image quality assessment (IQA) of enhanced underwater images. In this paper, we conduct the first crowdsourced subjective IQA study on enhanced underwater images. We chose ten state-of-the-art UIE algorithms and applied them to yield enhanced images from an underwater image benchmark. Their latent quality scales were reconstructed from pair comparison. We demonstrate that the existing IQA metrics are not suitable for assessing the perceived quality of enhanced underwater images. In addition, the overall performance of 10 UIE algorithms on the benchmark is ranked by the newly proposed simulated pair comparison of the methods.
| Original language | English |
|---|---|
| Title of host publication | 2022 14th International Conference on Quality of Multimedia Experience (QoMEX) |
| Publisher | IEEE |
| Pages | 1-4 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781665487948 |
| ISBN (Print) | 9781665487955 |
| DOIs | |
| Publication status | Published - 4 Oct 2022 |
| Event | 14th International Conference on Quality of Multimedia Experience (QoMEX): Towards Technology for Well-Being and Excellence - Lippstadt, Germany Duration: 5 Sept 2022 → 7 Sept 2022 https://ieeexplore.ieee.org/xpl/conhome/9900491/proceeding |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 2372-7179 |
| ISSN (Electronic) | 2472-7814 |
Conference
| Conference | 14th International Conference on Quality of Multimedia Experience (QoMEX) |
|---|---|
| Country/Territory | Germany |
| City | Lippstadt |
| Period | 5/09/22 → 7/09/22 |
| Internet address |
Keywords
- crowdsourcing
- image enhancement
- image quality assessment
- underwater image
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Media Technology
- Computer Networks and Communications