Paper ID: 2206.02295

HIFI-Net: A Novel Network for Enhancement to Underwater Images

Jiajia Zhou, Junbin Zhuang, Yan Zheng, Di Wu

A novel network for enhancement to underwater images is proposed in this paper. It contains a Reinforcement Fusion Module for Haar wavelet images (RFM-Haar) based on Reinforcement Fusion Unit (RFU), which is used to fuse an original image and some important information within it. Fusion is achieved for better enhancement. As this network make "Haar Images into Fusion Images", it is called HIFI-Net. The experimental results show the proposed HIFI-Net performs best among many state-of-the-art methods on three datasets at three normal metrics and a new metric.

Submitted: Jun 6, 2022