An Underwater Color Image Quality Evaluation Metric
UNSW Sydney · Jiangsu Ocean University
Abstract
Quality evaluation of underwater images is a key goal of underwater video image retrieval and intelligent processing. To date, no metric has been proposed for underwater color image quality evaluation (UCIQE). The special absorption and scattering characteristics of the water medium do not allow direct application of natural color image quality metrics especially to different underwater environments. In this paper, subjective testing for underwater image quality has been organized. The statistical distribution of the underwater image pixels in the CIELab color space related to subjective evaluation indicates the sharpness and colorful factors correlate well with subjective image quality perception. Based on…
Citation impact
- FWCI
- 9.36
- Percentile
- 100%
- References
- 47
Authors
2Topics & keywords
- Underwater
- Artificial intelligence
- Computer vision
- Computer science
- Image quality
- Grayscale
- Metric (unit)
- Color space
- Life below water