Journal article 77 views
Impact of Underwater Image Enhancement on Feature Matching
Jason M. Summers 
,
Mark Jones ,
Catherine Seale ,
JASON SUMMERS
,
Mark Jones ,
Catherine Seale ,
JASON SUMMERS
Sensors, Volume: 25, Issue: 22, Start page: 6966
Swansea University Authors:
Mark Jones , JASON SUMMERS
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.3390/s25226966
Abstract
We introduce local matching stability and furthest matchable frame as quantitative measures for evaluating the success of underwater image enhancement. This enhancement process addresses visual degradation caused by light absorption, scattering, marine growth, and debris. Enhanced imagery plays a cr...
| Published in: | Sensors |
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| ISSN: | 1424-8220 |
| Published: |
MDPI AG
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa70881 |
| Abstract: |
We introduce local matching stability and furthest matchable frame as quantitative measures for evaluating the success of underwater image enhancement. This enhancement process addresses visual degradation caused by light absorption, scattering, marine growth, and debris. Enhanced imagery plays a critical role in downstream tasks such as path detection and autonomous navigation for underwater vehicles, relying on robust feature extraction and frame matching.To assess the impact of enhancement techniques on frame-matching performance, we propose a novel evaluation framework tailored to underwater environments. Through metric-based analysis, we identify strengths and limitations of existing approaches and pinpoint gaps in their assessment of real-world applicability. By incorporating a practical matching strategy, our framework offers a robust, context-aware benchmark for comparing enhancement methods.Finally, we demonstrate how visual improvements affect the performance of a complete real-world algorithm -- Simultaneous Localization and Mapping (SLAM) -- reinforcing the framework's relevance to operational underwater scenarios. |
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| College: |
Faculty of Science and Engineering |
| Funders: |
UKRI |
| Issue: |
22 |
| Start Page: |
6966 |