A Two-Stage Underwater Enhancement Network Based on Structure Decomposition and Characteristics of Underwater Imaging

Due to the scattering and attenuation of light into the water, the underwater image usually appears with color distortion, blurred details, and low contrast. To address these problems, a novel two-stage underwater image convolutional neural network (CNN) based on structure decomposition (UWCNN-SD) f...

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Veröffentlicht in:	IEEE journal of oceanic engineering 2021-10, Vol.46 (4), p.1213-1227
Hauptverfasser:	Wu, Shengcong, Luo, Ting, Jiang, Gangyi, Yu, Mei, Xu, Haiyong, Zhu, Zhongjie, Song, Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Artificial neural networks Attenuation Color Colour Convolutional neural network (CNN) Decomposition Distortion Estimation Generative adversarial networks Hafnium Image color analysis Image contrast Image enhancement Image quality Image restoration Imaging techniques Light attenuation Scattering structure decomposition Theoretical analysis Underwater underwater image enhancement (UIE) Underwater structures
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