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.
翻译:本文提议建立一个用于增强水下图像的新型网络。 它包含一个基于强化聚变单元(RFM-Haar)的海浪图像强化聚变模块(RFM-Haar), 该模块用于整合原始图像和其中一些重要信息。 融合是为了更好的增强而实现的。 由于这个网络将“ 光映成集成图像” 称为 HIFI- Net 。 实验结果显示,提议的海浪图集网在三种正常度量和新度上的三个数据集中表现最佳, 在很多最先进的方法中表现最佳。