IR
Dust image enhancement algorithm based on color transfer
Liu, Hao; Li, Ce; Wan, Yuqi; Zhang, Yachao
2017
会议名称2nd Chinese Conference on Computer Vision, CCCV 2017
会议录名称Communications in Computer and Information Science
卷号771
页码168-179
会议日期October 11, 2017 - October 14, 2017
会议地点Tianjin, China
出版者Springer Verlag
摘要The increasing dust weather has seriously affected the quality of captured images. Therefore, research of the dust image quality enhancement has become an important hotspot in the field of computer vision. Compared with pictures which obtained in sunny day, dust images have some obvious problems such as low-quality in definition and light, hue yellowing and so on. Amid such questions, available methods cannot always prevail. Hence, this paper proposed a dust image enhancement algorithm based on color transfer. First of all, applying the scene gist feature to select a target image which has the highest similarity with input image in clear images database; then, the target image color information is passed to input image through the color transfer algorithm; finally, utilizing the contrast limited adaptive histgram equalization algorithm to restore the definition in dust image. The experimental results show that our algorithm can effectively enhance dust images quality in different degree, get more image details and resolve the definition and hue correction problems. We proposed a absolute color difference index to measure this method. The experiments demonstrate that the proposed algorithm outperforms the state-of-the-art models. © Springer Nature Singapore Pte Ltd. 2017.
关键词Color Color image processing Colorimetry Computer vision Dust Color difference Color transfer algorithm Color transfers Equalization algorithms Image enhancement algorithm Image quality enhancements Low qualities State of the art
DOI10.1007/978-981-10-7299-4_14
收录类别EI
语种英语
EI入藏号20175104549500
EI主题词Image enhancement
ISSN18650929
来源库Compendex
分类代码451.1 Air Pollution Sources - 741.1 Light/Optics - 741.2 Vision - 941.4 Optical Variables Measurements
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/118080
专题兰州理工大学
作者单位College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
第一作者单位兰州理工大学
推荐引用方式
GB/T 7714
Liu, Hao,Li, Ce,Wan, Yuqi,et al. Dust image enhancement algorithm based on color transfer[C]:Springer Verlag,2017:168-179.
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