Stabilization of atmospheric turbulence-distorted video containing moving objects using the monogenic signal

doi:10.1016/j.image.2018.01.006

CASIA OpenIR > 模式识别实验室

	Stabilization of atmospheric turbulence-distorted video containing moving objects using the monogenic signal
	Zhang, Chao1 ; Zhou, Fugen 1; Xue, Bindang 1; Xue, Wenfang2
发表期刊	SIGNAL PROCESSING-IMAGE COMMUNICATION
	2018-04-01
卷号	63 页码:19-29
文章类型	Article
摘要	The motion of moving objects in turbulence-distorted videos is affected by both the atmospheric turbulence fluctuations and the objects' own movements. Therefore, simultaneous video stabilization and preservation of the moving objects is a challenging task. Using the monogenic signal, we propose a fast two-stage approach to mitigate these erratic motions in videos and preserve the moving objects. In the first stage, each frame of a video is represented by the monogenic signal, which is used to model the turbulence-induced random brightness scintillation and local wiggles through local monogenic amplitude and phase. Then, a low-pass filter is employed to attenuate the high spatial frequency of local monogenic amplitude and phase variations to remove turbulence-induced distortions and obtain stable background frames. In the second stage, a two-step mask generating scheme is proposed to preserve the moving objects. Firstly, the coarse masks of the moving objects are obtained using the difference images between distorted frames and stable background frames. The coarse masks are then refined through analyzing the difference images of the local monogenic amplitude and phase between distorted frames and stable background frames. Finally, the stable video frames containing moving objects are reconstructed from the refined masks and the stable background frames. Experimental results show that the proposed approach is efficient and provides stabilized video and preservation of moving objects simultaneously in atmosphere turbulent conditions.
关键词	Atmospheric Turbulence Video Stabilization Monogenic Signal
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.image.2018.01.006
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000429392500003
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21993
专题	模式识别实验室
作者单位	1.Beihang Univ, Image Proc Ctr, Beijing 100191, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Chao,Zhou, Fugen,Xue, Bindang,et al. Stabilization of atmospheric turbulence-distorted video containing moving objects using the monogenic signal[J]. SIGNAL PROCESSING-IMAGE COMMUNICATION,2018,63:19-29.
APA	Zhang, Chao,Zhou, Fugen,Xue, Bindang,&Xue, Wenfang.(2018).Stabilization of atmospheric turbulence-distorted video containing moving objects using the monogenic signal.SIGNAL PROCESSING-IMAGE COMMUNICATION,63,19-29.
MLA	Zhang, Chao,et al."Stabilization of atmospheric turbulence-distorted video containing moving objects using the monogenic signal".SIGNAL PROCESSING-IMAGE COMMUNICATION 63(2018):19-29.