海域图像增强方法综述

张锐; 贾娜

doi:10.3788/YJYXS20173210.0828

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海域图像增强方法综述

图像处理 | 更新时间：2020-08-12

- 海域图像增强方法综述
- Sea image enhancement review
- 液晶与显示 2017年32卷第10期页码：828-834
- 作者机构：
  
  91550部队, 辽宁大连 116000
- 作者简介：
  
  [ "张锐(1983-), 男, 内蒙古巴彦淖尔人, 硕士, 助理工程师, 2006年于国防科学技术大学获得学士学位, 2013年于大连理工大学获得硕士学位, 主要从事光学软件总体。E-mail:zhr886@163.com" ]
- 基金信息：
- DOI：10.3788/YJYXS20173210.0828
  中图分类号： TP394.1;TH691.9
- 收稿日期：2016-11-14，
  
  录用日期：2017-6-13，
  
  纸质出版日期：2017-10-05
- 稿件说明：
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张锐, 贾娜. 海域图像增强方法综述[J]. 液晶与显示, 2017,32(10):828-834.

RUI ZHANG, Na JIA. Sea image enhancement review[J]. Chinese journal of liquid crystals and displays, 2017, 32(10): 828-834.
张锐, 贾娜. 海域图像增强方法综述[J]. 液晶与显示, 2017,32(10):828-834. DOI： 10.3788/YJYXS20173210.0828.

RUI ZHANG, Na JIA. Sea image enhancement review[J]. Chinese journal of liquid crystals and displays, 2017, 32(10): 828-834. DOI： 10.3788/YJYXS20173210.0828.

摘要

由于在海域条件下，受到雾气、光线等多种气象因素影响，光电装备获取的图像出现不同程度的退化现象，导致图像的显示质量下降。为了提高图像增强方法在海域环境下应用的有效性，本文针对海域图像海雾及照度不均的特点，分析了4种常用的图像增强算法，包括基于直方图均衡化的图像增强算法、基于暗原色原理的去雾算法、基于Retinex的图像增强算法、基于同态滤波的图像增强算法，并总结了这些算法的特点及其使用场景。上述4种图像增强算法应用于海域环境下图像增强，选择合适的增强算法可以有效提升图像对比度，克服海域图像海雾及照度不均问题。

Abstract

Due to the influence of various meteorological factors such as fog and light in the sea area

the image obtained by the photoelectric equipment has different degree of degradation

which leads to the decrease of the display quality of the image. In order to improve the effectiveness of image enhancement method in marine environment

this paper analyzes four commonly used image enhancement algorithms

including image enhancement algorithm based on histogram equalization

the Fourier algorithm of the original color principle

the image enhancement algorithm based on Retinex

the image enhancement algorithm based on homomorphic filtering

and summarizes the characteristics and the use of these algorithms. The above four kinds of image enhancement algorithms are applied to the image enhancement in the sea area environment. Choosing the appropriate enhancement algorithm can effectively improve the image contrast and overcome the problem of sea fog and illumination unevenness.

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references

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