Underwater Image Restoration Based on a Parallel Convolutional Neural Network

• Published in: Remote sensing (Basel, Switzerland) Vol. 11; no. 13; p. 1591
• Main Authors: Wang, Keyan, Hu, Yan, Chen, Jun, Wu, Xianyun, Zhao, Xi, Li, Yunsong
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2019
• Subjects: Artificial neural networks; Color; convolutional neural network; data collection; Datasets; image analysis; Image contrast; image degradation; Image enhancement; Image processing; Image restoration; Light; Methods; Neural networks; Parameter estimation; Pattern recognition; Quality; Remote sensing; Underwater; underwater imaging; Visibility; United States > US; China

Restoring degraded underwater images is a challenging ill-posed problem. The existing prior-based approaches have limited performance in many situations due to the reliance on handcrafted features. In this paper, we propose an effective convolutional neural network (CNN) for underwater image restora...