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Dehazed Image Quality Assessment by Haze-Line Theory
Song YC(宋颖超); Luo HB(罗海波); Lu RR(鲁荣荣); Ma JK(马俊凯)
作者部门光电信息技术研究室
会议名称6th Conference on Advances in Optoelectronics and Micro/Nano-Optics, AOM 2017
会议日期April 23-26, 2017
会议地点Nanjing, China
会议主办者Jiangsu Optical Society; Southeast University; The Optical Society of America
会议录名称6th Conference on Advances in Optoelectronics and Micro/Nano-Optics
出版者IOP
出版地Bristol, UK
2017
页码1-9
收录类别EI ; CPCI(ISTP)
EI收录号20172803930013
WOS记录号WOS:000412799900045
产权排序1
ISSN号1742-6588
摘要Images captured in bad weather suffer from low contrast and faint color. Recently, plenty of dehazing algorithms have been proposed to enhance visibility and restore color. However, there is a lack of evaluation metrics to assess the performance of these algorithms or rate them. In this paper, an indicator of contrast enhancement is proposed basing on the newly proposed haze-line theory. The theory assumes that colors of a haze-free image are well approximated by a few hundred distinct colors, which form tight clusters in RGB space. The presence of haze makes each color cluster forms a line, which is named haze-line. By using these haze-lines, we assess performance of dehazing algorithms designed to enhance the contrast by measuring the inter-cluster deviations between different colors of dehazed image. Experimental results demonstrated that the proposed Color Contrast (CC) index correlates well with human judgments of image contrast taken in a subjective test on various scene of dehazed images and performs better than state-of-the-art metrics.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/20793
专题光电信息技术研究室
通讯作者Song YC(宋颖超)
作者单位1.Shenyang Institute of Automation CAS, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
3.Key Laboratory of Opto-Electronic Information Processing CAS, Shenyang, 110016, China
4.Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang, 110016, China
推荐引用方式
GB/T 7714
Song YC,Luo HB,Lu RR,et al. Dehazed Image Quality Assessment by Haze-Line Theory[C]//Jiangsu Optical Society; Southeast University; The Optical Society of America. Bristol, UK:IOP,2017:1-9.
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