现代电子技术2018，Vol.41Issue(6)：18-22,5.DOI:10.16652/j.issn.1004-373x.2018.06.005
基于图像增强和复原的图像去雾方法研究
Research on image defogging methods based on image enhancement and image restoration
摘要
Abstract
Images obtained in the weather like mist have a series of image degradation characteristics such as low contrast degree,color degradation,blurred scenery,which directly affects the effective exploitation of image information. Therefore,it has a certain practical significance for effective defogging processing of foggy images to effectively improve the quality of degrad-ed images. In this paper,the multi-scale Retinex(MSR)algorithm based on image enhancement and the dark channel prior the-ory based defogging algorithm using the image restoration principle are analyzed and discussed. The defogging simulation was carried out for single foggy images with different characteristics. The experimental results show that the two defogging algorithms based on different theories have their own characteristics,the image defogging effect obtained on the basis of the dark channel prior theory is more significant,and the operation speed of the defogging algorithm based on the dark channel prior theory is fast-er.关键词
图像去雾/图像退化/图像增强/Retinex理论/多尺度Retinex算法/暗原色先验理论Key words
image defogging/image degradation/image enhancement/Retinex theory/MSR algorithm/dark channel prior theory分类
信息技术与安全科学引用本文复制引用
刘雪峰,刘学远,付民..基于图像增强和复原的图像去雾方法研究[J].现代电子技术,2018,41(6):18-22,5.基金项目
国家自然科学基金资助项目(61401244) （61401244）
山东省自然科学基金资助项目(ZR2014FM013 （）
ZR2015FL008) （）
山东省高等学校科技计划项目资助项目(J15LN39) Project Supported by National Natural Science Foundation of China(61401244),Shandong Provincial Natural Science Foundation(ZR2014FM013, ZR2015FL008),Science and Technology Plan Project for Colleges and Universities in Shandong Province(J15LN39) （J15LN39）
