A retinex-based enhancing approach for single underwater image
Xiamen University · Toronto Metropolitan University
Abstract
Since the light is absorbed and scattered while traveling in water, color distortion, under-exposure and fuzz are three major problems of underwater imaging. In this paper, a novel retinex-based enhancing approach is proposed to enhance single underwater image. The proposed approach has mainly three steps to solve the problems mentioned above. First, a simple but effective color correction strategy is adopted to address the color distortion. Second, a variational framework for retinex is proposed to decompose the reflectance and the illumination, which represent the detail and brightness respectively, from single underwater image. An effective alternating direction optimization strategy is adopted to solve the…
Citation impact
- FWCI
- 5.93
- Percentile
- 100%
- References
- 20
Authors
6Topics & keywords
- Color constancy
- Artificial intelligence
- Brightness
- Computer science
- Computer vision
- Underwater
- Distortion (music)
- Reflectivity
- Life below water