Lanzhou University of Technology Institutional Repository (LUT_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 |
DOI | 10.1007/978-981-10-7299-4_14 |
收录类别 | EI |
语种 | 英语 |
EI入藏号 | 20175104549500 |
EI主题词 | Image enhancement |
ISSN | 18650929 |
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 | |
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. |
条目包含的文件 | 条目无相关文件。 |
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