# ReX-Net: A reflectance-guided underwater image enhancement network for extreme scenarios

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/rex-net-a-reflectance-guided-underwater-image-enhancement-network-for-extreme/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dehuan Zhang,Dehuan Zhang,Jingchun Zhou,Weishi Zhang,Zifan Lin,Jian Yao,Kemal Polat,Fayadh Alenezi,Adi Alhudhaif |
| Citations | 87 |
| DOI | 10.1016/j.eswa.2023.120842 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4380880261 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Fayadh Alenezi](https://scholariq.org/researchers/fayadh-alenezi/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## Paper primary topic

- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)

## Paper topics

- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)
- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.