Dust image enhancement algorithm based on color transfer

doi:10.1007/978-981-10-7299-4_14

CORC > 兰州理工大学 > 兰州理工大学

	Dust image enhancement algorithm based on color transfer
	Liu, Hao; Li, Ce; Wan, Yuqi; Zhang, Yachao
	2017
会议日期	October 11, 2017 - October 14, 2017
会议地点	Tianjin, China
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
卷号	771
DOI	10.1007/978-981-10-7299-4_14
页码	168-179
英文摘要	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.
会议录	Communications in Computer and Information Science
会议录出版者	Springer Verlag
语种	英语
ISSN号	18650929
内容类型	会议论文
源URL	[http://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
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]. 见:. Tianjin, China. October 11, 2017 - October 14, 2017.