图像去雾算法研究综述

图像去雾技术的目的是为了去掉图像中雾的影响,从而获得高质量的图像。本文主要从图像增强、图像复原和深度学习的角度归纳总结了图像去雾方法的研究状况,对暗通道先验等经典算法以及新活跃在去雾领域的几种深度学习去雾算法做了进一步的分析,并对各类算法的性能进行了总结,最后针对各类图像去雾方法指出了存在的问题及未来的展望。

An Overview of Research on Image Dehazing Algorithms

Image dehazing technology aims to remove haze in image,so as to obtain high-quality images.This article summarizes the research status of image dehazing methods from perspectives of image enhancement,image restoration and deep learning.It makes further analysis of classic algorithms such as dark channel priors and several deep learning dehazing algorithms that are newly active in the field of dehazing.It also analyzes performance of each algorithm,and finally points out existing problems and future prospects for various image dehazing methods.