水下
能见度
图像复原
计算机科学
失真(音乐)
图像增强
计算机视觉
人工智能
过程(计算)
图像质量
图像形成
图像(数学)
图像处理
光学
地质学
电信
海洋学
操作系统
物理
放大器
带宽(计算)
作者
Weidong Zhang,Lili Dong,Xipeng Pan,Peiyu Zou,Li Qin,Wenhai Xu
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2019-01-01
卷期号:7: 182259-182279
被引量:64
标识
DOI:10.1109/access.2019.2959560
摘要
Images captured underwater usually suffer from color distortion, detail blurring, low contrast, and a bluish or greenish tone due to light scattering and absorption in the underwater medium, which in turn the visibility is adversely affected by these factors seriously. Over the last decades, various image restoration and enhancement methods have been developed by many researchers to improve the quality (visibility and highlight richer details) of underwater images. This paper introduces the overview of state-of-the-art underwater image restoration and enhancement techniques and classifies the approaches in two categories: image restoration (physical-based model) and image enhancement (nonphysical-based model). Furthermore, the classification of these two methods is elaborated. Then, the typical underwater image restoration and enhancement methods are discussed in detail, as well as a comprehensive study and fair evaluation of the methods is carried out from both qualitative and quantitative perspectives. Finally, the research process of underwater image restoration and enhancement is summarized and the suggestions for future research are prospected.
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