Dehazed Image Quality Assessment by Haze-Line Theory
文献类型：会议论文
| 作者 | Lu RR(鲁荣荣) ; Song YC(宋颖超); Luo HB(罗海波); Ma JK(马俊凯)
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| 出版日期 | 2017 |
| 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 |
| 页码 | 1-9 |
| 通讯作者 | Song YC(宋颖超) |
| 中文摘要 | 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. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议主办者 | Jiangsu Optical Society; Southeast University; The Optical Society of America |
| 会议录 | 6th Conference on Advances in Optoelectronics and Micro/Nano-Optics
 |
| 会议录出版者 | IOP |
| 会议录出版地 | Bristol, UK |
| 语种 | 英语 |
| ISSN号 | 1742-6588 |
| WOS记录号 | WOS:000412799900045 |
| 源URL | [http://ir.sia.cn/handle/173321/20793]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing, 100049, China 2.Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang, 110016, China 3.Shenyang Institute of Automation CAS, Shenyang, 110016, China 4.Key Laboratory of Opto-Electronic Information Processing CAS, Shenyang, 110016, China |
| 推荐引用方式 GB/T 7714 | Lu RR,Song YC,Luo HB,et al. Dehazed Image Quality Assessment by Haze-Line Theory[C]. 见:6th Conference on Advances in Optoelectronics and Micro/Nano-Optics, AOM 2017. Nanjing, China. April 23-26, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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