A deep CNN method for underwater image enhancement

By Yang Wang, Jing Zhang, Yang Cao, Zengfu Wang. International Conference on Information Photonics, 2017

308 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/fdc631202664cef9cddd89474d3c839e37496f20

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Yudong Wang
2. Huan Gao
3. Huihui Yue
4. Jichang Guo

Citations in the corpus

• UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space (2021, background): “…feature extraction capability of the network [25], [26]; designed multiple branch aims to learn different features through separate branches [1], [27], [28]; improving the performance of enhancement and restoration by predicted the depth map or transmission map of the underwater image [29]–[31];…”