摘要
水下图像增强是水下设备完成水下任务的重要支撑技术。在介绍水下图像应用存在的问题的基础上,对现有的水下图像增强方法原理和技术进行介绍和总结,根据水下图像增强技术的难点与目前面临的问题,对水下图像增强技术未来的发展趋势进行展望,进一步发挥深度学习的能力,提高水下图像的质量。
Underwater image enhancement is an important supporting technology for underwater equipment to complete underwater tasks. Based on the introduction of the problems existing in the application of underwater image, this paper introduces and summarizes the principles and technologies of existing underwater image enhancement methods. According to the difficulties and current problems of underwater image enhancement technology, this paper looks forward to the future development trend of underwater image enhancement technology, further develops the ability of in-depth learning, and improves the quality of underwater image.
作者
邓晶
DENG Jing(School of advanced manufacturing,Fuzhou University,Quanzhou 362200,China)
出处
《电视技术》
2022年第12期4-7,13,共5页
Video Engineering
关键词
水下图像增强
深度学习
神经网络
underwater image enhancement
deep learning
neural network